Evidence map›Paper›PMID 41536110›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Adenoid Cystic Carcinoma of the Breast: Clinicopathological Features, Therapy Strategy, and Prognosis.

Lan Chen, Shuang Dai, Xi Yan

Abstract read
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Article in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lan ChenFushun People's Hospital, ZiGong, Sichuan, People's Republic of China.ORCID 0000-0002-3993-8157
Shuang DaiDepartment of Medical Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Xi YanDepartment of Medical Oncology, Head and Neck Cancer Department, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID 0009-0001-0588-4015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdenoid cystic carcinoma (ACC) of the breast is a special subtype of breast cancer.

aimsThis study aimed to systematically characterize the clinicopathologic features, treatment patterns, and prognostic indicators of breast ACC, with the overarching goal of enhancing clinical understanding and optimizing management strategies for this rare malignancy. METHODS AND

resultsWe conducted a retrospective investigation of 22 patients with breast ACC treated at The West China Hospital of Sichuan University between March 2009 and January 2021. Clinical manifestations, therapy strategies, pathological characteristics, and follow-up information were systematically observed and analyzed. This study retrospectively analyzed 22 female patients with breast ACC, with ages ranging from 31 to 75 years. Notably, 54.5% (12/22) of the patients were postmenopausal. A palpable breast mass was the most common initial presenting symptom, observed in 95.5% (21/22) of cases. In terms of molecular subtype, triple-negative breast cancer (TNBC) was identified in 77.3% (17/22) of patients. Conversely, the remaining 22.7% (5/22) of cases showed positive expression for estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor receptor 2 (HER2). All patients received surgical treatment, which included simple mastectomy, breast-conserving surgery (BCS), or modified radical mastectomy. The surgical procedures were optionally accompanied by axillary lymph node dissection (ALND) or sentinel lymph node biopsy (SLNB). The majority of patients, 90.9% (20/22), were diagnosed at early stages (Stage I or II), while only 2 patients were in Stage III. For postoperative adjuvant therapy, 6 patients underwent radiotherapy, 16 received chemotherapy, 2 received hormonal modulation, and 1 advanced-stage patient participated in a clinical trial with bevacizumab therapy. During the follow-up period, 4 patients (19%) developed distant metastasis. The 5-year disease-free survival rate was 95.4%, with 21 out of 22 patients remaining free from disease recurrence. Remarkably, all patients survived until the end of the last follow-up, suggesting a relatively good prognosis for breast ACC in this cohort.

conclusionBreast ACC is a rare type of TNBC that reportedly has indolent biologic behavior. Definitive preoperative diagnosis remains challenging using imaging modalities alone, as conclusive identification relies heavily on histopathological and immunohistochemical examinations.

Indexed as

Breast NeoplasmsCarcinoma, Adenoid CysticNeoplasm Recurrence, LocalTriple Negative Breast NeoplasmsAdultAgedBreastFemaleHumansMiddle AgedPrognosisRadiotherapy, AdjuvantRetrospective Studiesadenoid cystic carcinomabreastprognosisradiotherapysurgery

Identifiers

PMID41536110
PMCPMC12805042

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.