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Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast

Invasive micropapillary carcinoma (IMPC) is a special histological subtype of breast cancer, featured with extremely high rates of lymphovascular invasion and lymph node metastasis. Based on a previous series of studies, our team proposed the hypothesis of “clustered metastasis of IMPC tumor cells”....

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Autores principales: Lv, Jianke, Shi, Qianqian, Han, Yunwei, Li, Weidong, Liu, Hanjiao, Zhang, Jingyue, Niu, Chen, Gao, Guangshen, Fu, Yiru, Zhi, Renyong, Wu, Kailiang, Li, Shuai, Gu, Feng, Fu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605000/
https://www.ncbi.nlm.nih.gov/pubmed/34799559
http://dx.doi.org/10.1038/s41419-021-04380-6
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author Lv, Jianke
Shi, Qianqian
Han, Yunwei
Li, Weidong
Liu, Hanjiao
Zhang, Jingyue
Niu, Chen
Gao, Guangshen
Fu, Yiru
Zhi, Renyong
Wu, Kailiang
Li, Shuai
Gu, Feng
Fu, Li
author_facet Lv, Jianke
Shi, Qianqian
Han, Yunwei
Li, Weidong
Liu, Hanjiao
Zhang, Jingyue
Niu, Chen
Gao, Guangshen
Fu, Yiru
Zhi, Renyong
Wu, Kailiang
Li, Shuai
Gu, Feng
Fu, Li
author_sort Lv, Jianke
collection PubMed
description Invasive micropapillary carcinoma (IMPC) is a special histological subtype of breast cancer, featured with extremely high rates of lymphovascular invasion and lymph node metastasis. Based on a previous series of studies, our team proposed the hypothesis of “clustered metastasis of IMPC tumor cells”. However, the transcriptomics characteristics underlying its metastasis are unknown, especially in spatial transcriptomics (ST). In this paper, we perform ST sequencing on four freshly frozen IMPC samples. We draw the transcriptomic maps of IMPC for the first time and reveal its extensive heterogeneity, associated with metabolic reprogramming. We also find that IMPC subpopulations with abnormal metabolism are arranged in different spatial areas, and higher levels of lipid metabolism are observed in all IMPC hierarchical clusters. Moreover, we find that the stromal regions show varieties of gene expression programs, and this difference depends on their distance from IMPC regions. Furthermore, a total of seven IMPC hierarchical clusters of four samples share a common higher expression level of the SREBF1 gene. Immunohistochemistry results further show that high SREBF1 protein expression is associated with lymph node metastasis and poor survival in IMPC patients. Together, these findings provide a valuable resource for exploring the inter- and intra-tumoral heterogeneity of IMPC and identify a new marker, SREBF1, which may facilitate accurate diagnosis and treatment of this disease.
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spelling pubmed-86050002021-12-03 Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast Lv, Jianke Shi, Qianqian Han, Yunwei Li, Weidong Liu, Hanjiao Zhang, Jingyue Niu, Chen Gao, Guangshen Fu, Yiru Zhi, Renyong Wu, Kailiang Li, Shuai Gu, Feng Fu, Li Cell Death Dis Article Invasive micropapillary carcinoma (IMPC) is a special histological subtype of breast cancer, featured with extremely high rates of lymphovascular invasion and lymph node metastasis. Based on a previous series of studies, our team proposed the hypothesis of “clustered metastasis of IMPC tumor cells”. However, the transcriptomics characteristics underlying its metastasis are unknown, especially in spatial transcriptomics (ST). In this paper, we perform ST sequencing on four freshly frozen IMPC samples. We draw the transcriptomic maps of IMPC for the first time and reveal its extensive heterogeneity, associated with metabolic reprogramming. We also find that IMPC subpopulations with abnormal metabolism are arranged in different spatial areas, and higher levels of lipid metabolism are observed in all IMPC hierarchical clusters. Moreover, we find that the stromal regions show varieties of gene expression programs, and this difference depends on their distance from IMPC regions. Furthermore, a total of seven IMPC hierarchical clusters of four samples share a common higher expression level of the SREBF1 gene. Immunohistochemistry results further show that high SREBF1 protein expression is associated with lymph node metastasis and poor survival in IMPC patients. Together, these findings provide a valuable resource for exploring the inter- and intra-tumoral heterogeneity of IMPC and identify a new marker, SREBF1, which may facilitate accurate diagnosis and treatment of this disease. Nature Publishing Group UK 2021-11-20 /pmc/articles/PMC8605000/ /pubmed/34799559 http://dx.doi.org/10.1038/s41419-021-04380-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lv, Jianke
Shi, Qianqian
Han, Yunwei
Li, Weidong
Liu, Hanjiao
Zhang, Jingyue
Niu, Chen
Gao, Guangshen
Fu, Yiru
Zhi, Renyong
Wu, Kailiang
Li, Shuai
Gu, Feng
Fu, Li
Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title_full Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title_fullStr Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title_full_unstemmed Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title_short Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
title_sort spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605000/
https://www.ncbi.nlm.nih.gov/pubmed/34799559
http://dx.doi.org/10.1038/s41419-021-04380-6
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