乳腺癌肿瘤干细胞的研究进展

干细胞(stem cell,SC)是一类具有自我更新、多向分化潜能的特殊细胞群体.而肿瘤干细胞(cancer stem cell,CSC)不仅具备了干细胞方面的特征,同时还有其自身特殊性.乳腺癌中肿瘤干细胞的发现为乳腺癌的治疗提供了创新性策略.近年来,有关乳腺癌肿瘤干细胞的筛选标记和方法以及信号转导通路方面的研究颇多,但其中也不乏争议.就乳腺癌干细胞研究的最新进展作一端述.     

BCAR3 Regulates Src/p130Cas Association, Src Kinase Activity, and Breast Cancer Adhesion Signaling

The nonreceptor protein-tyrosine kinase c-Src is frequently overexpressed and/or activated in a variety of cancers, including those of the breast. Several heterologous binding partners of c-Src have been shown to regulate its catalytic activity by relieving intramolecular autoinhibitory interactions. One such protein, p130^Cas (Cas), is expressed at high levels in both breast cancer cell lines and breast tumors, providing a potential mechanism for c-Src activation in breast cancers. The Cas-binding protein BCAR3 (breast cancer antiestrogen resistance-3) is expressed at high levels in invasive breast cancer cell lines, and this molecule has previously been shown to coordinate with Cas to increase c-Src activity in COS-1 cells. In this study, we show for the first time using gain- and loss-of-function approaches that BCAR3 regulates c-Src activity in the endogenous setting of breast cancer cells. We further show that BCAR3 regulates the interaction between Cas and c-Src, both qualitatively as well as quantitatively. Finally, we present evidence that the coordinated activity of these proteins contributes to breast cancer cell adhesion signaling and spreading. Based on these data, we propose that the c-Src/Cas/BCAR3 signaling axis is a prominent regulator of c-Src activity, which in turn controls cell behaviors that lead to aggressive and invasive breast tumor phenotypes.     

不同临床病理特征的乳腺非特殊型浸润性癌分子亚型分析

目的:探讨不同临床病理特征的乳腺非特殊型浸润性癌的分子亚型分布特点。方法:回顾性分析309例乳腺非特殊型浸润性癌患者的临床资料,根据患者年龄、绝经情况、组织学分级和淋巴结转移情况分组,每组再根据免疫组化雌激素受体(ER)、孕激素受体(PR)、人类表皮生长因子受体2(HER-2)结果分为4种不同的分子亚型,分析各组中不同分子亚型的分布特点。结果:309例乳腺非特殊型浸润性癌中Lumina A型为137例(44.3%),Lumina B型为64例(20.7%),HER-2/neu型为63例(20.4%),basal cell-like型为45例(14.6%)。不同年龄段、绝经与否、不同组织学分级和淋巴结转移情况患者的分子亚型差异均具有统计学意义(P0.05)。结论:非特殊型浸润性癌的分子亚型以Luminal A型为主,其中异型性高,转移广泛的basal cell-like型的年龄分布呈现年轻化趋势。     

Effects of Size and Geographical Origin on Atlantic salmon,Salmo salar,Mucin O-Glycan Repertoire

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Highlights

• •Atlantic salmon O-glycome expanded to 169 structures in three epithelia.
• •Low interindividual variation amongst all populations and geographical regions.
• •Small variations in glycosylation between geographical locations and fish size.
• •Prominent fucosylation in gastrointestinal mucins from Tasmanian fish.

     

Structural Basis for Phosphorylation and Lysine Acetylation Cross-talk in a Kinase Motif Associated with Myocardial Ischemia and Cardioprotection

Myocardial ischemia and cardioprotection by ischemic pre-conditioning induce signal networks aimed at survival or cell death if the ischemic period is prolonged. These pathways are mediated by protein post-translational modifications that are hypothesized to cross-talk with and regulate each other. Phosphopeptides and lysine-acetylated peptides were quantified in isolated rat hearts subjected to ischemia or ischemic pre-conditioning, with and without splitomicin inhibition of lysine deacetylation. We show lysine acetylation (acetyl-Lys)-dependent activation of AMP-activated protein kinase, AKT, and PKA kinases during ischemia. Phosphorylation and acetyl-Lys sites mapped onto tertiary structures were proximal in >50% of proteins investigated, yet they were mutually exclusive in 50 ischemic pre-conditioning- and/or ischemia-associated peptides containing the KXXS basophilic protein kinase consensus motif. Modifications in this motif were modeled in the C terminus of muscle-type creatine kinase. Acetyl-Lys increased proximal dephosphorylation by 10-fold. Structural analysis of modified muscle-type creatine kinase peptide variants by two-dimensional NMR revealed stabilization via a lysine-phosphate salt bridge, which was disrupted by acetyl-Lys resulting in backbone flexibility and increased phosphatase accessibility.     

Microvesicle Proteomic Profiling of Uterine Liquid Biopsy for Ovarian Cancer Early Detection

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Highlights

• •Microvesicle proteomics of 187 utero-tubal lavage samples for early diagnosis of HGOC.
• •Machine learning-based classification of a 9-protein signature with high predictive power.
• •Signature has 70‥ sensitivity and 76.2‥ specificity, predicting stage I lesions.

     

FusionPro,a Versatile Proteogenomic Tool for Identification of Novel Fusion Transcripts and Their Potential Translation Products in Cancer Cells,

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Highlights

• •FusionPro, a versatile tool for studying fusion proteoforms, has been developed.
• •Fusion peptides were identified against a customized database built by FusionPro.
• •Types and features of fusion proteoforms were efficiently predicted by FusionPro.

     

CAFs外泌体通过上调ABCB5诱导乳腺癌细胞化疗耐药

目的:探讨肿瘤相关成纤维细胞(CAFs)诱导乳腺癌细胞耐药及其作用机制。方法:从临床样本中分离培养CAFs,获取条件培养基,并纯化外泌体。使用CAFs条件培养基或CAFs外泌体与CD44+的乳腺癌干细胞(CSCs)和CD44-的非干细胞亚群共培养,并用5氟尿嘧啶(5-FU)处理共培养的细胞,通过成球实验和CCK8实验检测细胞的自我更新能力和存活能力。抑制细胞中ABCB5的表达,检测5-FU对细胞存活能力的影响。结果:CAFs条件培养或外泌体处理的CSCs自我更新能力和对5-FU的耐药能力更强,成球能力和对5-FU耐药性上升约1.5-2倍。CAFs外泌体可提高CSCs中ABCB5的表达水平约4-5倍,抑制ABCB5可降低CSCs的耐药性至原来的约60-80%。结论:CAFs通过旁分泌外泌体增强CSCs的自我更新能力并通过上调CSCs中ABCB5的表达水平促进其对化疗药物的抵抗。     

Dissecting the Roles of Tyrosines 490 and 785 of TrkA Protein in the Induction of Downstream Protein Phosphorylation Using Chimeric Receptors

Receptor tyrosine kinases generally act by forming phosphotyrosine-docking sites on their own endodomains that propagate signals through cascades of post-translational modifications driven by the binding of adaptor/effector proteins. The pathways that are stimulated in any given receptor tyrosine kinase are a function of the initial docking sites that are activated and the availability of downstream participants. In the case of the Trk receptors, which are activated by nerve growth factor, there are only two established phosphotyrosine-docking sites (Tyr-490 and Tyr-785 on TrkA) that are known to be directly involved in signal transduction. Taking advantage of this limited repertoire of docking sites and the availability of PC12 cell lines stably transfected with chimeric receptors composed of the extracellular domain of the PDGF receptor and the transmembrane and intracellular domains of TrkA, the downstream TrkA-induced phosphoproteome was assessed for the “native” receptor and mutants lacking Tyr-490 or both Tyr-490 and Tyr-785. Basal phosphorylation levels were compared with those formed after 20 min of stimulation with PDGF. Several thousand phosphopeptides were identified after TiO₂ enrichment, and many were up- or down-regulated by receptor activation. The modified proteins in the native sample contained many of the well established participants in TrkA signaling. The results from the mutant receptors allowed grouping of these downstream targets by their dependence on the two characterized docking site(s). A clear subset that was not dependent on either Tyr-490 or Tyr-785 emerged, providing direct evidence that there are other sites on TrkA that are involved in downstream signaling.     

A Hybrid Deep Learning Model for Predicting Molecular Subtypes of Human Breast Cancer Using Multimodal Data

BackgroundThe prediction of breast cancer subtypes plays a key role in the diagnosis and prognosis of breast cancer. In recent years, deep learning (DL) has shown good performance in the intelligent prediction of breast cancer subtypes. However, most of the traditional DL models use single modality data, which can just extract a few features, so it cannot establish a stable relationship between patient characteristics and breast cancer subtypes.DatasetWe used the TCGA-BRCA dataset as a sample set for molecular subtype prediction of breast cancer. It is a public dataset that can be obtained through the following link: https://portal.gdc.cancer.gov/projects/TCGA-BRCAMethodsIn this paper, a Hybrid DL model based on the multimodal data is proposed. We combine the patient's gene modality data with image modality data to construct a multimodal fusion framework. According to the different forms and states, we set up feature extraction networks respectively, and then we fuse the output of the two feature networks based on the idea of weighted linear aggregation. Finally, the fused features are used to predict breast cancer subtypes. In particular, we use the principal component analysis to reduce the dimensionality of high-dimensional data of gene modality and filter the data of image modality. Besides, we also improve the traditional feature extraction network to make it show better performance.ResultsThe results show that compared with the traditional DL model, the Hybrid DL model proposed in this paper is more accurate and efficient in predicting breast cancer subtypes. Our model achieved a prediction accuracy of 88.07% in 10 times of 10-fold cross-validation. We did a separate AUC test for each subtype, and the average AUC value obtained was 0.9427. In terms of subtype prediction accuracy, our model is about 7.45% higher than the previous average.     

MAPK scaffold IQGAP1 binds the EGF receptor and modulates its activation

Cellular responses produced by EGF are mediated through the receptor (EGFR) and by various enzymes and scaffolds. Recent studies document IQGAP1 as a scaffold for the MAPK cascade, binding directly to B-Raf, MEK, and ERK and regulating their activation in response to EGF. We previously showed that EGF is unable to activate B-Raf in cells lacking IQGAP1. However, the mechanism by which IQGAP1 links B-Raf to EGFR was unknown. Here we report that endogenous EGFR and IQGAP1 co-localize and co-immunoprecipitate in cells. EGF has no effect on the association, but Ca(2+) attenuates binding. In vitro analysis demonstrated a direct association mediated through the IQ and kinase domains of IQGAP1 and EGFR, respectively. Calmodulin disrupts this interaction. Using a mass spectrometry-based assay, we show that EGF induces phosphorylation of IQGAP1 Ser(1443), a residue known to be phosphorylated by PKC. This phosphorylation is eliminated by pharmacological inhibition of either EGFR or PKC and transfection with small interfering RNA directed against the PKCα isoform. In IQGAP1-null cells, EGF-stimulated tyrosine phosphorylation of EGFR is severely attenuated. Normal levels of autophosphorylation are restored by reconstituting wild type IQGAP1 and enhanced by an IQGAP1 S1443D mutant. Collectively, these data demonstrate a functional interaction between IQGAP1 and EGFR and suggest that IQGAP1 modulates EGFR activation.     

A New Signaling Pathway (JAK-Fes-phospholipase D) That Is Enhanced in Highly Proliferative Breast Cancer Cells

The products of the oncogene Fes and JAK3 are tyrosine kinases, whose expressions are elevated in tumor growth, angiogenesis, and metastasis. Phosphatidic acid, as synthesized by phospholipase D (PLD), enhances cancer cell survival. We report a new signaling pathway that integrates the two kinases with the lipase. A new JAK3-Fes-PLD2 axis is responsible for the highly proliferative phenotype of MDA-MB-231 breast cancer cells. Conversely, this pathway is maintained at a low rate of expression and activity levels in untransformed cells such as MCF10A. We also deciphered the inter-regulation that exists between the two kinases (JAK3 and the oncogene Fes) and between these two kinases and the lipase (PLD2). Whereas JAK3 and Fes marginally activate PLD2 in non-transformed cells, these kinases greatly enhance (>200%) PLD activity following protein-protein interaction through the SH2 domain and the Tyr-415 residue of PLD2. We also found that phosphatidic acid enhances Fes activity in MDA-MB-231 cells providing a positive activation loop between Fes and PLD2. In summary, the JAK3, Fes and PLD2 interactions in transformed cells maintain PLD2 at an enhanced level that leads to abnormal cell growth. Modulating this new JAK3-Fes-PLD2 pathway could be important to control the highly invasive phenotype of breast cancer cells.     

High-throughput Identification of FLT3 Wild-type and Mutant Kinase Substrate Preferences and Application to Design of Sensitive In Vitro Kinase Assay Substrates

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Highlights

• •Developed a data processing pipeline to format phosphopeptide identifications.
• •Identified the preferred substrate motif for FLT3 and mutant kinases.
• •Designed and validated a panel of pan-FTL3 artificial substrates.
• •Monitored FLT3 and mutant kinase activity through FAStide phosphorylation.

     

Screening Preeclamptic Cord Plasma for Proteins Associated with Decreased Breast Cancer Susceptibility

Preeclampsia, a complication of pregnancy characterized by hypertension and proteinuria, has been found to reduce the subsequent risk for breast cancer in female offspring. As this pro- tective effect could be due to exposure to preeclampsia-specific proteins during intrauterine life, the proteomic profiles of umbilical cord blood plasma between preeclamptic and normotensive pregnancies were compared. Umbilical cord plasma samples, depleted of 14 abundant proteins, were subjected to proteomic analysis using the quantitative method of nanoACQUITY ultra performance liquid chromatography-mass spectrometry with elevated energy mode of acquisitionE （NanoUPLC-MSE）. Sixty-nine differentially expressed proteins were identified, of which 15 and 6 proteins were only detected in preeclamptic and normotensive pregnancies, respectively.Additionally, expression of 8 proteins （gelsolin, complement C5, keratin type I cytoskeletal 10, pigment epithelium-derived factor, complement factor B, complement component C7, hemoglobin subunit gamma-2 and alpha-fetoprotein） were up-regulated in preeclampsia with a fold change of 1〉 2.0 when compared to normotensive pregnancies. The identification of alpha-fetoprotein in pre- eclamptic umbilical cord blood plasma supported the validity of this screen as alpha-fetoprotein has anti-estrogenic properties and has previously been linked to preeclampsia as well as a reduced breast cancer risk. The findings of this pilot study may provide new insights into the mechanistic link between preeclampsia and potentially reduced breast cancer susceptibility in adult life.