Jennifer Plichta

Overview:

Dr. Jennifer Plichta is an Associate Professor of Surgery & Population Health Sciences at Duke University. She serves as the Director of the Breast Risk Assessment Clinic in the Duke Cancer Institute, where she cares for patients with breast cancer, benign breast problems, and those with an increased risk of breast cancer. Her clinical interests include establishing routine breast cancer risk assessment for women and creating personalized management strategies for those found to be “high risk”.

 

Dr. Plichta’s research focuses of identifying and managing women with risk factors for breast cancer, including those with genetic mutations, such as BRCA, those with abnormal breast biopsies, and those with a family history of breast cancer. She is also studying metastatic breast cancer and how breast cancer staging can be used to improve patient care and education. 

 

However, her dedication to breast cancer extends beyond her clinical and research interests. She also enjoys educating the community about breast cancer and helping to raise money for breast cancer research and education. She is the creator and primary coordinator of Duke’s free, annual breast education day for the community, “What’s best for breasts?”.

Positions:

Associate Professor of Surgery

Surgical Oncology
School of Medicine

Associate Professor in Population Health Sciences

Population Health Sciences
School of Medicine

Member of the Duke Cancer Institute

Duke Cancer Institute
School of Medicine

Education:

B.A. 2002

Depauw University

M.D. 2008

Indiana University, School of Medicine

M.S. 2012

Loyola University Medical Center

General Surgery Resident, Surgery

Loyola University Medical Center

Breast Surgery Fellowship, Surgery

Brigham and Women's Hospital

Breast Surgery Fellowship, Surgery

Dana-Farber Cancer Institute

Breast Surgery Fellowship, Surgery

Massachusetts General Hospital

Grants:

Genetic testing for women with high-risk breast lesions

Awarded By
The Color Foundation
Role
Principal Investigator
Start Date
End Date

Combined breast MRI/biomarker strategies to identify aggressive biology

Administered By
Surgical Oncology
Awarded By
City of Hope
Role
Principal Investigator
Start Date
End Date

Effectiveness and implementation of a decision support tool to improve surgical decision making in young women with breast cancer

Administered By
Surgical Oncology
Awarded By
Cornell University
Role
Principal Investigator
Start Date
End Date

Publications:

Novel Prognostic Staging System for Patients With De Novo Metastatic Breast Cancer.

PURPOSE: Given the heterogeneity and improvement in outcomes for metastatic breast cancer (MBC), we developed a staging system that refines prognostic estimates for patients with metastatic cancer at the time of initial diagnosis, de novo MBC (dnMBC), on the basis of survival outcomes and disease-related variables. METHODS: Patients with dnMBC (2010-2016) were selected from the National Cancer Database (NCDB). Recursive partitioning analysis (RPA) was used to group patients with similar overall survival (OS) on the basis of clinical T category, grade, estrogen receptor (ER), progesterone receptor, human epidermal growth factor receptor 2, histology, organ system site of metastases (bone-only, brain-only, visceral), and number of organ systems involved. Three-year OS rates were used to assign a final stage: IVA: >70%, IVB: 50%-70%, IVC: 25 to <50%, and IVD: <25%. Bootstrapping was applied with 1,000 iterations, and final stage assignments were made based on the most commonly occurring assignment. Unadjusted OS was estimated. Validation analyses were conducted using SEER and NCDB. RESULTS: At a median follow-up of 52.9 months, the median OS of the original cohort (N = 42,467) was 35.4 months (95% CI, 34.8 to 35.9). RPA stratified patients into 53 groups with 3-year OS rates ranging from 73.5% to 5.7%; these groups were amalgamated into four stage groups: 3-year OS, A = 73.2%, B = 61.9%, C = 40.1%, and D = 17% (log-rank P < .001). After bootstrapping, the survival outcomes for the four stages remained significantly different (log-rank P < .001). This staging system was then validated using SEER data (N = 20,469) and a separate cohort from the NCDB (N = 7,645) (both log-rank P < .001). CONCLUSION: Our findings regarding the heterogeneity in outcomes for patients with dnMBC could guide future revisions of the current American Joint Committee on Cancer staging guidelines for patients with newly diagnosed stage IV disease. Our findings should be independently confirmed.
Authors
Plichta, JK; Thomas, SM; Hayes, DF; Chavez-MacGregor, M; Allison, K; de Los Santos, J; Fowler, AM; Giuliano, AE; Sharma, P; Smith, BD; van Eycken, E; Edge, SB; Hortobagyi, GN
MLA Citation
Plichta, Jennifer K., et al. “Novel Prognostic Staging System for Patients With De Novo Metastatic Breast Cancer.J Clin Oncol, vol. 41, no. 14, May 2023, pp. 2546–60. Pubmed, doi:10.1200/JCO.22.02222.
URI
https://scholars.duke.edu/individual/pub1569271
PMID
36944149
Source
pubmed
Published In
Journal of Clinical Oncology
Volume
41
Published Date
Start Page
2546
End Page
2560
DOI
10.1200/JCO.22.02222

Immune Phenotype and Postoperative Complications following Elective Surgery.

OBJECTIVES: To characterize and quantify accumulating immunological alterations, pre- and post-operatively in patients undergoing elective surgical procedures. SUMMARY BACKGROUND DATA: Elective surgery is an anticipatable, controlled human injury. Although the human response to injury is generally stereotyped, individual variability exists. This makes surgical outcomes less predictable, even after standardized procedures, and may provoke complications in patients unable to compensate for their injury. One potential source of variation is found in immune cell maturation, with phenotypic changes dependent on an individual's unique, lifelong response to environmental antigens. METHODS: We enrolled 248 patients in a prospective trial facilitating comprehensive biospecimen and clinical data collection in patients scheduled to undergo elective surgery. Peripheral blood was collected pre-operatively, and immediately upon return to the post- anesthesia care unit. Postoperative complications that occurred within 30 days after surgery were captured. RESULTS: As this was an elective surgical cohort, outcomes were generally favorable. With a median follow-up of 6 months, the overall survival at 30 days was 100%. However, 20.5% of the cohort experienced a postoperative complication (infection, readmission, or system dysfunction). We identified substantial heterogeneity of immune senescence and terminal differentiation phenotypes in surgical patients. More importantly, phenotypes indicating increased T-cell maturation and senescence were associated with postoperative complications and were evident pre-operatively. CONCLUSIONS: The baseline immune repertoire may define an immune signature of resilience to surgical injury and help predict risk for surgical complications.
Authors
Moris, D; Barfield, R; Chan, C; Chasse, S; Stempora, L; Xie, J; Plichta, JK; Thacker, J; Harpole, DH; Purves, T; Lagoo-Deenadayalan, S; Hwang, ES; Kirk, AD
MLA Citation
Moris, Dimitrios, et al. “Immune Phenotype and Postoperative Complications following Elective Surgery.Ann Surg, Apr. 2023. Pubmed, doi:10.1097/SLA.0000000000005864.
URI
https://scholars.duke.edu/individual/pub1571821
PMID
37051915
Source
pubmed
Published In
Ann Surg
Published Date
DOI
10.1097/SLA.0000000000005864

Survival Benefit of Chemotherapy According to 21-Gene Recurrence Score in Young Women with Breast Cancer.

BACKGROUND: Initial trials evaluating Oncotype DX, reported as a recurrence score (RS) from 0 to 100, were not powered to evaluate overall survival, and premenopausal women were underrepresented. The purpose of this study was to explore the benefit of chemotherapy according to RS among younger women eligible for oncotype testing. METHODS: Women aged 40-50, diagnosed with HR-positive, HER2-negative breast cancer between 2010 and 2017 were selected from the National Cancer Database (NCBD). Patients were grouped by age, RS, nodal status, and chemotherapy receipt. Kaplan-Meier curves were used to compare unadjusted overall survival (OS) between the groups, and log-rank tests were used to test for a difference between groups. Cox proportional hazards models were used to examine the association between select factors and OS. RESULTS: A total of 15,422 patients met inclusion criteria, 45.3% of whom received chemotherapy. Median follow-up time was 66.4 (50.6-86.6) months. Patients who received chemotherapy were more likely to have higher-stage and higher-grade tumors, tumors that were PR-negative, and have higher RS (p < 0.001 for all). RS was prognostic for OS regardless of nodal status. After adjustment, chemotherapy was associated with a significant improvement in OS only in the pN1 RS 31-50 subgroup (p = 0.02). CONCLUSIONS: RS retains its prognostic value in younger patients with early stage HR-positive, HER2-negative breast cancer. Chemotherapy survival benefit was limited to patients aged 40-50 with pN1 disease and RS of 31-50. Therefore, chemotherapy decision-making should be especially preference-sensitive in women aged 40-50 with intermediate RS, where it may not provide a survival benefit for many women.
MLA Citation
Nash, A. L., et al. “Survival Benefit of Chemotherapy According to 21-Gene Recurrence Score in Young Women with Breast Cancer.Ann Surg Oncol, vol. 30, no. 4, Apr. 2023, pp. 2130–39. Pubmed, doi:10.1245/s10434-022-12699-3.
URI
https://scholars.duke.edu/individual/pub1562146
PMID
36611067
Source
pubmed
Published In
Annals of Surgical Oncology
Volume
30
Published Date
Start Page
2130
End Page
2139
DOI
10.1245/s10434-022-12699-3

Risk factors for persistent pain after breast cancer surgery: a multicentre prospective cohort study.

Identifying factors associated with persistent pain after breast cancer surgery may facilitate risk stratification and individualised management. Single-population studies have limited generalisability as socio-economic and genetic factors contribute to persistent pain development. Therefore, this prospective multicentre cohort study aimed to develop a predictive model from a sample of Asian and American women. We enrolled women undergoing elective breast cancer surgery at KK Women's and Children's Hospital and Duke University Medical Center. Pre-operative patient and clinical characteristics and EQ-5D-3L health status were recorded. Pain catastrophising scale; central sensitisation inventory; coping strategies questionnaire-revised; brief symptom inventory-18; perceived stress scale; mechanical temporal summation; and pressure-pain threshold assessments were performed. Persistent pain was defined as pain score ≥ 3 or pain affecting activities of daily living 4 months after surgery. Univariate associations were generated using generalised estimating equations. Enrolment site was forced into the multivariable model, and risk factors with p < 0.2 in univariate analyses were considered for backwards selection. Of 210 patients, 135 (64.3%) developed persistent pain. The multivariable model attained AUC = 0.807, with five independent associations: age (OR 0.85 95%CI 0.74-0.98 per 5 years); diabetes (OR 4.68, 95%CI 1.03-21.22); pre-operative pain score at sites other than the breast (OR 1.48, 95%CI 1.11-1.96); previous mastitis (OR 4.90, 95%CI 1.31-18.34); and perceived stress scale (OR 1.35, 95%CI 1.01-1.80 per 5 points), after adjusting for: enrolment site; pre-operative pain score at the breast; pre-operative overall pain score at rest; postoperative non-steroidal anti-inflammatory drug use; and pain catastrophising scale. Future research should validate this model and evaluate pre-emptive interventions to reduce persistent pain risk.
Authors
Tan, HS; Plichta, JK; Kong, A; Tan, CW; Hwang, S; Sultana, R; Wright, MC; Sia, ATH; Sng, BL; Habib, AS
MLA Citation
Tan, H. S., et al. “Risk factors for persistent pain after breast cancer surgery: a multicentre prospective cohort study.Anaesthesia, vol. 78, no. 4, Apr. 2023, pp. 432–41. Pubmed, doi:10.1111/anae.15958.
URI
https://scholars.duke.edu/individual/pub1562392
PMID
36639918
Source
pubmed
Published In
Anaesthesia
Volume
78
Published Date
Start Page
432
End Page
441
DOI
10.1111/anae.15958

ASO Visual Abstract: Survival Benefit of Chemotherapy According to 21-Gene Recurrence Score in Young Women with Breast Cancer.

MLA Citation
Nash, A. L., et al. “ASO Visual Abstract: Survival Benefit of Chemotherapy According to 21-Gene Recurrence Score in Young Women with Breast Cancer.Ann Surg Oncol, vol. 30, no. 4, Apr. 2023, pp. 2140–41. Pubmed, doi:10.1245/s10434-022-12885-3.
URI
https://scholars.duke.edu/individual/pub1563544
PMID
36697997
Source
pubmed
Published In
Annals of Surgical Oncology
Volume
30
Published Date
Start Page
2140
End Page
2141
DOI
10.1245/s10434-022-12885-3