Korean J Radiol.  2015 Oct;16(5):986-995. 10.3348/kjr.2015.16.5.986.

Prognostic Significance of a Complete Response on Breast MRI in Patients Who Received Neoadjuvant Chemotherapy According to the Molecular Subtype

Affiliations
  • 1Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
  • 2Department of Radiology, Kangwon National University Hospital, Chuncheon 24289, Korea. hanheon@kangwon.ac.kr
  • 3Department of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
  • 4Department of Preventive Medicine, Dong-A University School of Medicine, Busan 49201, Korea.
  • 5Division of Oncology-Hematology, Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju 52727, Korea.
  • 6Division of Hematology/Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
  • 7Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.

Abstract


OBJECTIVE
To evaluate the relationship between response categories assessed by magnetic resonance imaging (MRI) or pathology and survival outcomes, and to determine whether there are prognostic differences among molecular subtypes.
MATERIALS AND METHODS
We evaluated 174 patients with biopsy-confirmed invasive breast cancer who had undergone MRI before and after neoadjuvant chemotherapy, but before surgery. Pathology findings were classified as a pathologic complete response (pCR) or a non-pCR, and MRI findings were designated as a radiologic CR (rCR) or a non-rCR. We evaluated overall and subtype-specific associations between clinicopathological factors including the assessment categories and recurrence, using the Cox proportional hazards model.
RESULTS
There were 41 recurrences (9 locoregional and 32 distant recurrences). There were statistically significant differences in recurrence outcomes between patients who achieved a radiologic or a pCR and patients who did not achieve a radiologic or a pCR (recurrence hazard ratio, 11.02; p = 0.018 and recurrence hazard ratio, 3.93; p = 0.022, respectively). Kaplan-Meier curves for recurrence-free survival showed that triple-negative breast cancer was the only subtype that showed significantly better outcomes in patients who achieved a CR compared to patients who did not achieve a CR by both radiologic and pathologic assessments (p = 0.004 and 0.001, respectively). A multivariate analysis found that patients who achieved a rCR and a pCR did not display significantly different recurrence outcomes (recurrence hazard ratio, 2.02; p = 0.505 and recurrence hazard ratio, 1.12; p = 0.869, respectively).
CONCLUSION
Outcomes of patients who achieved a rCR were similar to those of patients who achieved a pCR. To evaluate survival difference according to molecular subtypes, a larger study is needed.

Keyword

Breast cancer; Magnetic resonance imaging; Neoadjuvant chemotherapy; Prognosis; Subtype

MeSH Terms

Adult
Aged
Antineoplastic Agents/therapeutic use
Breast Neoplasms/drug therapy/mortality/*pathology
Female
Humans
Kaplan-Meier Estimate
*Magnetic Resonance Imaging
Middle Aged
Neoadjuvant Therapy
Neoplasm Recurrence, Local
Prognosis
Proportional Hazards Models
Receptor, ErbB-2/genetics/metabolism
Receptors, Estrogen/genetics/metabolism
Receptors, Progesterone/genetics/metabolism
Remission Induction
Antineoplastic Agents
Receptor, ErbB-2
Receptors, Estrogen
Receptors, Progesterone

Figure

  • Fig. 1 Kaplan-Meier curves for survival based on magnetic resonance imaging assessment category (A) or pathologic assessment category (B). CR = complete response

  • Fig. 2 Kaplan-Meier curves for survival in each breast cancer molecular subtype. Radiologic assessment in triple-negative breast cancer (A), HER2-positive breast cancer (B), and ER-positive breast cancer (C). Pathologic assessment in triple-negative breast cancer (D), HER2-positive breast cancer (E), and ER-positive breast cancer (F). CR = complete response, ER = estrogen receptor, HER2 = human epidermal growth factor receptor 2


Cited by  1 articles

Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer
Yunju Kim, Sung Hun Kim, Byung Joo Song, Bong Joo Kang, Kwang-il Yim, Ahwon Lee, Yoonho Nam
Korean J Radiol. 2018;19(4):682-691.    doi: 10.3348/kjr.2018.19.4.682.


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