Skip Navigation
Skip to contents

J Pathol Transl Med : Journal of Pathology and Translational Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
3 "Disease-free survival"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Articles
The Prognostic Impact of Synchronous Ipsilateral Multiple Breast Cancer: Survival Outcomes according to the Eighth American Joint Committee on Cancer Staging and Molecular Subtype
Jinah Chu, Hyunsik Bae, Youjeong Seo, Soo Youn Cho, Seok-Hyung Kim, Eun Yoon Cho
J Pathol Transl Med. 2018;52(6):396-403.   Published online October 23, 2018
DOI: https://doi.org/10.4132/jptm.2018.10.03
  • 5,542 View
  • 92 Download
  • 7 Web of Science
  • 6 Crossref
AbstractAbstract PDF
Background
In the current American Joint Committee on Cancer staging system of breast cancer, only tumor size determines T-category regardless of whether the tumor is single or multiple. This study evaluated if tumor multiplicity has prognostic value and can be used to subclassify breast cancer.
Methods
We included 5,758 patients with invasive breast cancer who underwent surgery at Samsung Medical Center, Seoul, Korea, from 1995 to 2012.
Results
Patients were divided into two groups according to multiplicity (single, n = 4,744; multiple, n = 1,014). Statistically significant differences in lymph node involvement and lymphatic invasion were found between the two groups (p < .001). Patients with multiple masses tended to have luminal A molecular subtype (p < .001). On Kaplan-Meier survival analysis, patients with multiple masses had significantly poorer disease-free survival (DFS) (p = .016). The prognostic significance of multiplicity was seen in patients with anatomic staging group I and prognostic staging group IA (p = .019 and p = .032, respectively). When targeting patients with T1-2 N0 M0, hormone receptor–positive, and human epidermal growth factor receptor 2 (HER2)–negative cancer, Kaplan-Meier survival analysis also revealed significantly reduced DFS with multiple cancer (p = .031). The multivariate analysis indicated that multiplicity was independently correlated with worse DFS (hazard ratio, 1.23; 95% confidence interval, 1.03 to 1.47; p = .025). The results of this study indicate that tumor multiplicity is frequently found in luminal A subtype, is associated with frequent lymph node metastasis, and is correlated with worse DFS.
Conclusions
Tumor multiplicity has prognostic value and could be used to subclassify invasive breast cancer at early stages. Adjuvant chemotherapy would be necessary for multiple masses of T1–2 N0 M0, hormone-receptor-positive, and HER2-negative cancer.

Citations

Citations to this article as recorded by  
  • Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images
    Alexandre Boulenger, Yanwen Luo, Chenhui Zhang, Chenyang Zhao, Yuanjing Gao, Mengsu Xiao, Qingli Zhu, Jie Tang
    Medical & Biological Engineering & Computing.2023; 61(2): 567.     CrossRef
  • Multicentre prospective cohort study of unmet supportive care needs among patients with breast cancer throughout their cancer treatment trajectory in Penang: a PenBCNeeds Study protocol
    Noorsuzana Mohd Shariff, Nizuwan Azman, Rohayu Hami, Noor Mastura Mohd Mujar, Mohammad Farris Iman Leong Bin Abdullah
    BMJ Open.2021; 11(3): e044746.     CrossRef
  • The subgross morphology of breast carcinomas: a single-institution series of 2033 consecutive cases documented in large-format histology slides
    Tibor Tot, Maria Gere, Syster Hofmeyer, Annette Bauer, Ulrika Pellas
    Virchows Archiv.2020; 476(3): 373.     CrossRef
  • Editorial for “Synchronous Breast Cancer: Phenotypic Similarities on MRI”
    Uma Sharma
    Journal of Magnetic Resonance Imaging.2020; 52(1): 309.     CrossRef
  • Synchronous Multiple Breast Cancers—Do We Need to Reshape Staging?
    Minodora Onisâi, Adrian Dumitru, Iuliana Iordan, Cătălin Aliuș, Oana Teodor, Adrian Alexandru, Daniela Gheorghiță, Iulian Antoniac, Adriana Nica, Alexandra-Ana Mihăilescu, Sebastian Grădinaru
    Medicina.2020; 56(5): 230.     CrossRef
  • Molecular mechanism of triple‑negative breast cancer‑associated BRCA1 and the identification of signaling pathways
    Feng Qi, Wen‑Xing Qin, Yuan‑Sheng Zang
    Oncology Letters.2019;[Epub]     CrossRef
Size of Non-lepidic Invasive Pattern Predicts Recurrence in Pulmonary Mucinous Adenocarcinoma: Morphologic Analysis of 188 Resected Cases with Reappraisal of Invasion Criteria
Soohyun Hwang, Joungho Han, Misun Choi, Myung-Ju Ahn, Yong Soo Choi
J Pathol Transl Med. 2017;51(1):56-68.   Published online October 16, 2016
DOI: https://doi.org/10.4132/jptm.2016.09.17
  • 9,029 View
  • 211 Download
  • 9 Web of Science
  • 7 Crossref
AbstractAbstract PDF
Background
We reviewed a series of 188 resected pulmonary mucinous adenocarcinomas (MAs) to clarify the prognostic significance of lepidic and non-lepidic patterns.
Methods
Non-lepidic patterns were divided into bland, non-distorted acini with uncertain invasiveness (pattern 1), unequivocal invasion into stroma (pattern 2), or invasion into alveolar spaces (pattern 3).
Results
The mean proportion of invasive patterns (patterns 2 and 3) was lowest in small (≤ 3 cm) tumors, and gradually increased in intermediate (> 3 cm and ≤ 7 cm) and large (> 7 cm) tumors (8.4%, 34.3%, and 50.1%, respectively). Adjusted T (aT) stage, as determined by the size of invasive patterns, was positively correlated with adverse histologic and clinical features including older age, male sex, and ever smokers. aTis tumors, which were exclusively composed of lepidic pattern (n = 9), or a mixture of lepidic and pattern 1 (n = 40) without any invasive patterns, showed 100% disease- free survival (DFS). The aT1mi tumors, with minimal (≤ 5 mm) invasive patterns (n = 63), showed a 95.2% 5-year DFS, with recurrences (n = 2) limited to tumors greater than 3 cm in total size (n = 23). Both T and aT stage were significantly associated with DFS; however, survival within the separate T-stage subgroups was stratified according to the aT stage, most notably in the intermediatestage subgroups. In multivariate analysis, the size of invasive patterns (p = .020), pleural invasion (p < .001), and vascular invasion (p = .048) were independent predictors of recurrence, whereas total size failed to achieve statistical significance (p = .121).
Conclusions
This study provides a rationale for histologic risk stratification in pulmonary MA based on the extent of invasive growth patterns with refined criteria for invasion.

Citations

Citations to this article as recorded by  
  • Distinct Recurrence Pattern and Survival Outcomes of Invasive Mucinous Adenocarcinoma of the Lung: The Potential Role of Local Therapy in Intrapulmonary Spread
    Dong Woog Yoon, Soohyun Hwang, Tae Hee Hong, Yoon-La Choi, Hong Kwan Kim, Yong Soo Choi, Jhingook Kim, Young Mog Shim, Jong Ho Cho
    Annals of Surgical Oncology.2024; 31(1): 201.     CrossRef
  • Pulmonary invasive mucinous adenocarcinoma
    Wei‐Chin Chang, Yu Zhi Zhang, Andrew G Nicholson
    Histopathology.2024; 84(1): 18.     CrossRef
  • Micropapillary Pattern in Invasive Mucinous Adenocarcinoma of the Lung: Comparison With Invasive Non-Mucinous Adenocarcinoma
    Hui He, Lue Li, Yuan-yuan Wen, Li-yong Qian, Zhi-qiang Yang
    International Journal of Surgical Pathology.2023;[Epub]     CrossRef
  • Radiological and clinical features of screening-detected pulmonary invasive mucinous adenocarcinoma
    Dae Hyeon Kim, So Young Bae, Kwon Joong Na, Samina Park, In Kyu Park, Chang Hyun Kang, Young Tae Kim
    Interactive CardioVascular and Thoracic Surgery.2022; 34(2): 229.     CrossRef
  • Micropapillary Pattern in Invasive Mucinous Adenocarcinoma of the Lung: Comparison with Invasive Non-Mucinous Adenocarcinoma
    Hui He, Yuanyuan Wen, Liyong Qian, Zhiqiang Yang
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Optimal method for measuring invasive size that predicts survival in invasive mucinous adenocarcinoma of the lung
    Tomonari Oki, Keiju Aokage, Shogo Nomura, Kenta Tane, Tomohiro Miyoshi, Norihiko Shiiya, Kazuhito Funai, Masahiro Tsuboi, Genichiro Ishii
    Journal of Cancer Research and Clinical Oncology.2020; 146(5): 1291.     CrossRef
  • Prognostic Impact of Histopathologic Features in Pulmonary Invasive Mucinous Adenocarcinomas
    Wei-Chin Chang, Yu Zhi Zhang, Eric Lim, Andrew G Nicholson
    American Journal of Clinical Pathology.2020; 154(1): 88.     CrossRef
The Loss of Expression of Caveolin-1 in Gastrointestinal Stromal Tumors.
Eo Jin Kim, Jin Hee Sohn, Min Kyung Kim, Seoung Wan Chae, Hye Seung Lee, Eun Yoon Cho, Woo Ho Kim
Korean J Pathol. 2005;39(5):338-344.
  • 1,856 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
The down-regulation of caveolin-1, a putative tumor suppressor gene, has been demonstrated in several types of sarcomas. However, it's not known whether or not the gastrointestinal stromal tumors (GISTs) express caveolin-1. We carried out this study to investigate the caveolin-1 expression in GISTs and to determine the correlation between the clinicopathologic profiles of GISTs and the expression of caveolin-1.
METHODS
One hundred eight cases of formalin-fixed and paraffin-embedded tissues of GISTs were immunohistochemically evaluated for the expression of caveolin-1 by using the tissue-array method. Survival data of 98 cases of primary GISTs was analysed according to the expression status of caveolin-1.
RESULTS
Ninety three cases (86.1%) of 108 GISTs did not express caveolin-1 protein. There was no correlation between the caveolin-1 expression status and any of the clinicopathologic variables, including mitosis (p=0.948) and tumor grade (p=0.334). The expression of caveolin-1 was not correlated with other immunohistochemical marker proteins including, c-kit (p=0.373), CD34 (p=0.437) and SMA (p=0.831). On the univariate analysis, the caveolin-1 expression status (p=0.635) was not a significant predictor of the disease-free survival for GIST patients.
CONCLUSIONS
The results of this study suggest that caveolin-1 might act as a tumor suppressor gene in the GIST oncogenesis, but it has no function as a prognostic marker for disease free survival.

J Pathol Transl Med : Journal of Pathology and Translational Medicine