Literature DB >> 19604245

Tumor histology in lymph vessels and lymph nodes for the accurate prediction of outcome among breast cancer patients treated with neoadjuvant chemotherapy.

Nobuko Tamura1, Takahiro Hasebe, Nao Okada, Takashi Houjoh, Sadako Akashi-Tanaka, Chikako Shimizu, Tatsuhiro Shibata, Yuko Sasajima, Motoki Iwasaki, Takayuki Kinoshita.   

Abstract

The present study investigated fibrotic foci (FFs), the grading system for lymph vessel tumor emboli (LVTEs), and the histological characteristics of nodal metastatic tumors that were significantly associated with the outcomes of 115 patients with invasive ductal carcinoma (IDC) who had received neoadjuvant chemotherapy. We compared the outcome predictive power of FFs, the grading system for LVTEs, and the histological characteristics of metastatic tumors in lymph nodes with the well-known clinicopathological characteristics of tumor recurrence and tumor-related death in multivariate analyses. The presence of FFs, as assessed by a biopsy performed before neoadjuvant chemotherapy, significantly increased the hazard rates (HRs) for tumor-related death in all the cases and in cases with nodal metastasis. The grading system for LVTEs, which was assessed using surgical specimens obtained after neoadjuvant chemotherapy, was significantly associated with increasing hazard rates (HRs) for tumor recurrence and tumor-related death in all the cases and in cases with nodal metastasis. Moderate to severe stroma in nodal metastatic tumors and five or more mitotic figures in nodal metastatic tumors were significantly associated with elevated HRs for tumor recurrence and tumor-related death among all the cases. These results indicated that FFs, the grading system for LVTEs, and the histological characteristics of tumor cells in lymph nodes play important roles in predicting the tumor progression of IDCs of the breast in patients treated with neoadjuvant chemotherapy.

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Year:  2009        PMID: 19604245     DOI: 10.1111/j.1349-7006.2009.01264.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  7 in total

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Journal:  Eur Radiol       Date:  2010-05-09       Impact factor: 5.315

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Authors:  Marius Preda; Răzvan Ilina; Ovidiu Potre; Cristina Potre; Octavian Mazilu
Journal:  Cancer Manag Res       Date:  2020-12-03       Impact factor: 3.989

Review 3.  Tumour-microenvironment interactions: role of tumour stroma and proteins produced by cancer-associated fibroblasts in chemotherapy response.

Authors:  Matthew David Hale; Jeremy David Hayden; Heike Irmgard Grabsch
Journal:  Cell Oncol (Dordr)       Date:  2013-03-14       Impact factor: 6.730

4.  Lymphovascular invasion is an independent predictor of survival in breast cancer after neoadjuvant chemotherapy.

Authors:  Ying L Liu; Anurag Saraf; Shing M Lee; Xiaobo Zhong; Hanina Hibshoosh; Kevin Kalinsky; Eileen P Connolly
Journal:  Breast Cancer Res Treat       Date:  2016-05-25       Impact factor: 4.872

5.  YAP/TAZ direct commitment and maturation of lymph node fibroblastic reticular cells.

Authors:  Sung Yong Choi; Hosung Bae; Sun-Hye Jeong; Intae Park; Hyunsoo Cho; Seon Pyo Hong; Da-Hye Lee; Choong-Kun Lee; Jin-Sung Park; Sang Heon Suh; Jeongwoon Choi; Myung Jin Yang; Jeon Yeob Jang; Lucas Onder; Jeong Hwan Moon; Han-Sin Jeong; Ralf H Adams; Jin-Man Kim; Burkhard Ludewig; Joo-Hye Song; Dae-Sik Lim; Gou Young Koh
Journal:  Nat Commun       Date:  2020-01-24       Impact factor: 14.919

6.  Lymphovascular invasion can be better than pathologic complete response to predict prognosis in breast cancer treated with neoadjuvant chemotherapy.

Authors:  Young Jae Ryu; Shin Jae Kang; Jin Seong Cho; Jung Han Yoon; Min Ho Park
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

7.  Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT).

Authors:  Shengyu Pu; Ke Wang; Yang Liu; Xiaoqin Liao; Heyan Chen; Jianjun He; Jian Zhang
Journal:  BMC Cancer       Date:  2020-11-19       Impact factor: 4.430

  7 in total

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