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      PIK3CA mutation confers resistance to chemotherapy in triple-negative breast cancer by inhibiting apoptosis and activating the PI3K/AKT/mTOR signaling pathway

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          Abstract

          Background

          Triple-negative breast cancer (TNBC) is a malignant subtype of breast cancer, the main treatments for which are chemotherapy and surgery. PIK3CA is an oncogene that encodes the p110α subunit of class IA PI3K to regulate cell proliferation and apoptosis. Some reports have observed neoadjuvant chemotherapy (NAC) to have poor pathological complete response (pCR) rates in TNBC with PIK3CA mutation. This study aimed to explore the mechanism of how mutant PIK3CA alters chemotherapeutic susceptibility in TNBC.

          Methods

          TNBC cell lines (MDA-MB-231 and MDA-MB-468) with PIK3CA gene mutations (E545K and H1047R regions) and overexpression were established by transfection. NOD/SCID mice were used for in vivo experiments. Epirubicin was used as the chemotherapeutic agent. Cell viability, cell cycle, apoptosis, and Transwell assays were conducted for phenotype analysis. Western blot, quantitative reverse transcription-polymerase chain reaction, and immunohistochemistry were used to detect gene and protein expression levels. A clinical analysis of 50 patients with TNBC was also performed.

          Results

          Cell viability and Transwell assays showed that PIK3CA mutation promoted TNBC cell growth and conferred an enhanced migratory phenotype. Cell cycle and apoptosis assays showed that PIK3CA mutation moderately improved the proliferation ability of TNBC cells and remarkably inhibited their apoptosis. After epirubicin therapy, the proportion of early apoptotic cells decreased among cells with PIK3CA mutation. Further, xenograft tumors grew faster in NOD/SCID mice injected with mutated cell lines than in control group, suggesting that PIK3CA mutation caused chemotherapy resistance. Importantly, western blot and immunohistochemical analysis showed that cells and mouse tumors in the PIK3CA mutation groups exhibited different expression levels of apoptosis-related markers (Xiap, Bcl-2, and Caspase 3) and proteins associated with the PI3K/AKT/mTOR pathway (p110α, AKT, p-AKT, mTOR, p-mTOR, p-4E-BP1, p-p70S6K, and Pten). Moreover, prognostic analysis of 50 patients with TNBC indicated that PIK3CA mutation might be linked with relapse and death.

          Conclusions

          PIK3CA mutation confers resistance to chemotherapy in TNBC by inhibiting apoptosis and activating the PI3K/AKT/mTOR signaling pathway.

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          Most cited references43

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          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
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            New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

            Assessment of the change in tumour burden is an important feature of the clinical evaluation of cancer therapeutics: both tumour shrinkage (objective response) and disease progression are useful endpoints in clinical trials. Since RECIST was published in 2000, many investigators, cooperative groups, industry and government authorities have adopted these criteria in the assessment of treatment outcomes. However, a number of questions and issues have arisen which have led to the development of a revised RECIST guideline (version 1.1). Evidence for changes, summarised in separate papers in this special issue, has come from assessment of a large data warehouse (>6500 patients), simulation studies and literature reviews. HIGHLIGHTS OF REVISED RECIST 1.1: Major changes include: Number of lesions to be assessed: based on evidence from numerous trial databases merged into a data warehouse for analysis purposes, the number of lesions required to assess tumour burden for response determination has been reduced from a maximum of 10 to a maximum of five total (and from five to two per organ, maximum). Assessment of pathological lymph nodes is now incorporated: nodes with a short axis of 15 mm are considered measurable and assessable as target lesions. The short axis measurement should be included in the sum of lesions in calculation of tumour response. Nodes that shrink to <10mm short axis are considered normal. Confirmation of response is required for trials with response primary endpoint but is no longer required in randomised studies since the control arm serves as appropriate means of interpretation of data. Disease progression is clarified in several aspects: in addition to the previous definition of progression in target disease of 20% increase in sum, a 5mm absolute increase is now required as well to guard against over calling PD when the total sum is very small. Furthermore, there is guidance offered on what constitutes 'unequivocal progression' of non-measurable/non-target disease, a source of confusion in the original RECIST guideline. Finally, a section on detection of new lesions, including the interpretation of FDG-PET scan assessment is included. Imaging guidance: the revised RECIST includes a new imaging appendix with updated recommendations on the optimal anatomical assessment of lesions. A key question considered by the RECIST Working Group in developing RECIST 1.1 was whether it was appropriate to move from anatomic unidimensional assessment of tumour burden to either volumetric anatomical assessment or to functional assessment with PET or MRI. It was concluded that, at present, there is not sufficient standardisation or evidence to abandon anatomical assessment of tumour burden. The only exception to this is in the use of FDG-PET imaging as an adjunct to determination of progression. As is detailed in the final paper in this special issue, the use of these promising newer approaches requires appropriate clinical validation studies.
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              Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

              Triple-negative breast cancer (TNBC) is a highly diverse group of cancers, and subtyping is necessary to better identify molecular-based therapies. In this study, we analyzed gene expression (GE) profiles from 21 breast cancer data sets and identified 587 TNBC cases. Cluster analysis identified 6 TNBC subtypes displaying unique GE and ontologies, including 2 basal-like (BL1 and BL2), an immunomodulatory (IM), a mesenchymal (M), a mesenchymal stem-like (MSL), and a luminal androgen receptor (LAR) subtype. Further, GE analysis allowed us to identify TNBC cell line models representative of these subtypes. Predicted "driver" signaling pathways were pharmacologically targeted in these cell line models as proof of concept that analysis of distinct GE signatures can inform therapy selection. BL1 and BL2 subtypes had higher expression of cell cycle and DNA damage response genes, and representative cell lines preferentially responded to cisplatin. M and MSL subtypes were enriched in GE for epithelial-mesenchymal transition, and growth factor pathways and cell models responded to NVP-BEZ235 (a PI3K/mTOR inhibitor) and dasatinib (an abl/src inhibitor). The LAR subtype includes patients with decreased relapse-free survival and was characterized by androgen receptor (AR) signaling. LAR cell lines were uniquely sensitive to bicalutamide (an AR antagonist). These data may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies.
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                Author and article information

                Journal
                Ann Transl Med
                Ann Transl Med
                ATM
                Annals of Translational Medicine
                AME Publishing Company
                2305-5839
                2305-5847
                March 2021
                March 2021
                : 9
                : 5
                : 410
                Affiliations
                [1 ]School of Medicine, Nankai University , Tianjin, China;
                [2 ]Department of General Surgery, Chinese People’s Liberation Army General Hospital , Beijing, China;
                [3 ]Medical School of Chinese PLA , Beijing, China
                Author notes

                Contributions: (I) Conception and design: X Li, Y Zhang, A Qi; (II) Administrative support: X Li; (III) Provision of study materials or patients: X Li; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Xiru Li; Yanjun Zhang; Aiying Qi. Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing 100853, China. Email: 2468li@ 123456sina.com ; zhangyanjun301@ 123456163.com ; qiay79@ 123456163.com .
                Article
                atm-09-05-410
                10.21037/atm-21-698
                8033310
                33842631
                d707ab22-8575-410b-ae99-28c68d27593e
                2021 Annals of Translational Medicine. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 10 February 2021
                : 05 March 2021
                Categories
                Original Article

                triple-negative breast cancer (tnbc),pik3ca mutation,apoptosis,pi3k/akt/mtor pathway,chemotherapy resistance

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