失衡的NK细胞亚群和TIGIT表达限制了西妥昔单抗在结直肠癌中的疗效:一个有希望的治疗靶点

IF 7.9 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Carmen Navarrete-Sirvent, Ana Mantrana, Aurora Rivas-Crespo, Alejandra Díaz-Chacón, Nerea M. Herrera-Casanova, María Teresa Sánchez-Montero, Marta Toledano-Fonseca, María Victoria García-Ortiz, María José Ortiz-Morales, Gema Pulido, Mª Teresa Cano, Auxiliadora Gómez-España, Rafael González-Fernández, Lionel Le Bourhis, Silvia Guil-Luna, Antonio Rodríguez-Ariza, Enrique Aranda
{"title":"失衡的NK细胞亚群和TIGIT表达限制了西妥昔单抗在结直肠癌中的疗效:一个有希望的治疗靶点","authors":"Carmen Navarrete-Sirvent,&nbsp;Ana Mantrana,&nbsp;Aurora Rivas-Crespo,&nbsp;Alejandra Díaz-Chacón,&nbsp;Nerea M. Herrera-Casanova,&nbsp;María Teresa Sánchez-Montero,&nbsp;Marta Toledano-Fonseca,&nbsp;María Victoria García-Ortiz,&nbsp;María José Ortiz-Morales,&nbsp;Gema Pulido,&nbsp;Mª Teresa Cano,&nbsp;Auxiliadora Gómez-España,&nbsp;Rafael González-Fernández,&nbsp;Lionel Le Bourhis,&nbsp;Silvia Guil-Luna,&nbsp;Antonio Rodríguez-Ariza,&nbsp;Enrique Aranda","doi":"10.1002/ctm2.70351","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor,</p><p>Antibody-dependent cell-mediated cytotoxicity (ADCC) induced by natural killer (NK) cells is one important mechanism by which the anti-EGFR cetuximab exerts its anti-tumoral effect,<span><sup>1</sup></span> but no studies have examined NK cell profiles as a predictor of response to cetuximab in metastatic colorectal cancer (mCRC). Our findings suggest that imbalanced NK cell subpopulations and the expression of inhibitory receptors on NKs are key mechanisms that may limit the effectiveness of cetuximab, highlighting TIGIT as a promising target for enhancing treatment outcomes.</p><p>We collected blood samples from 31 mCRC patients prior to cetuximab treatment to purify NK cells for immune profiling and proteomic analyses. Patients were categorized as non-responders (NR, <i>n</i> = 14) if they progressed before 9 months, and responders (R, <i>n</i> = 17) if progression occurred after (Appendix 1). Results of clinical-pathological data and survival analyses are shown in Appendix 2 (Tables S1, S2). The only significant clinical parameter distinguishing NR and R patients was the number of cetuximab cycles (Appendix 2, Table S1). In terms of survival (Appendix 3, Figure S1), NR patients showed shorter overall survival (OS) and time to progression (TTP) compared with R patients. Besides, in our cohort the median OS and TTP were 21 and 9 months, respectively, which are comparable to results from clinical trials such as COIN (OS: 17 months, TTP: 8.6 months) or TAILOR (OS: 20 months and TTP: 9 months).<span><sup>2</sup></span> These findings validate the clinical relevance of our cohort and underscore the need for biomarkers to aid in the selection of patients who would benefit from cetuximab treatment.</p><p>To compare the molecular phenotype of NK cells between R and NR patients before cetuximab treatment, we analyzed their proteomic profiles using a data-independent acquisition (DIA) approach. Of the 4914 proteins identified, 932 were differentially expressed, with 585 downregulated and 347 upregulated in NR compared with R patients (Figure 1A; Appendix 2: Tables S3, S4). PCA analysis (Figure 1B) and unsupervised clustering (Figure 1C) revealed distinct protein expression patterns that clearly distinguished between the two groups. Moreover, the GSEA analysis of proteomic data (Figure 1D,E) revealed alterations in several biological processes in NKs from NR, including TGFβ, p53, TNFα, and KRAS signalling pathways, suggesting NK dysfunction.<span><sup>3, 4</sup></span> Hence, metabolic alteration in NK cells has been linked to the overexpression of peroxisome proliferator-activated receptors (PPARs), which suppresses mTOR-mediated glycolysis and interferes with the maturation process from less cytotoxic to potent cytotoxic NK phenotypes.<span><sup>5</sup></span> Therefore, the overactivation of these pathways may contribute to impaired NK function through a variety of immune evasion mechanisms which correlates with the reduced responsiveness of NR patients to cetuximab treatment. These findings support the role of NK cell regulation and phenotype as key factors in the cetuximab response in mCRC.</p><p>Notably, and consistent with the proteomic analysis, although no differences were observed in CD45+ lymphocytes (Appendix 3: Figure S2) NK cell immunophenotyping data (Figure 2) confirmed that NR patients exhibited a higher percentage of non-cytotoxic NKs (CD56<sup>Bright</sup> and CD56<sup>Dim</sup> CD16<sup>−</sup>) and elevated expression of CD57 and the inhibitory receptor TIGIT, combined with reduced levels of cytotoxic and activating receptors, including NKG2A, NKG2C, NKp30, and NKp46. Similar results were found when these markers were analysed in NKT cells (Appendix 3: Figure S3). This profile strongly indicates a senescent or exhausted NK cell phenotype in NR patients, which may underlie their lack of responsiveness to cetuximab.<span><sup>6</sup></span></p><p>To further assess the potential of these receptors as predictive biomarkers for cetuximab response, we constructed ROC curves, which revealed that these NK cell-related parameters have strong predictive value (Appendix 3: Figure S4A). Among these biomarkers, TIGIT proved to be highly effective, achieving an area under the curve (AUC) of .8410, which indicates its high predictive value, and reinforces the association between high TIGIT expression and non-response to treatment.</p><p>TIGIT, also known as WUCAM, VSTM3, and VSIG9, has been identified as an inhibitory receptor in T cells, NK cells, memory T cells, and Tregs.<span><sup>7</sup></span> Remarkably, TIGIT has significant implications for tumour progression and immune evasion.<span><sup>8</sup></span> However, to date few studies have related circulating TIGIT+ immune cells with poor prognosis in cancer. In our study, higher expression of TIGIT in circulating NK cells was associated with poor outcomes in mCRC patients receiving cetuximab as first-line treatment (Appendix 3: Figure S4B,C). Therefore, TIGIT expression on NK cells emerges as a valuable clinical marker for predicting treatment outcomes in mCRC patients undergoing cetuximab as first-line therapy.</p><p>Our findings of elevated TIGIT expression in NK cells from NR patients strongly support TIGIT as a promising target for combination cancer immunotherapy strategies aimed at enhancing ADCC efficacy. To date, no studies have explored this therapeutic approach. Our in vitro experiments demonstrated that TIGIT blockade with tiragolumab, in combination with cetuximab, not only boosted cetuximab-mediated ADCC (Figure 3; control: 12.77%, cetuximab: 24.90% and combined treatment: 42.7%) but also significantly facilitated the infiltration and activation of NKs within tumour spheroids (Figure 4; increment control:1, cetuximab: 1.226 and combined treatment: 1.683). These findings are in line with studies demonstrating that TIGIT blockade can promote increased NK cell infiltration and improved function within tumours.<span><sup>9</sup></span> Additionally, our data, along with findings from other studies, indicate that TIGIT expression is higher on CD56<sup>Dim</sup> NK cells,<span><sup>10</sup></span> which could explain the differential effects of TIGIT blockade observed across NK cell subsets.</p><p>In conclusion, our findings suggest that the imbalance of NK cell subpopulations, along with the expression of inhibitory receptors on NK cells, plays a crucial role in limiting the effectiveness of cetuximab in mCRC patients. Specifically, the presence of inhibitory receptors like TIGIT on NK cells appears to dampen their ability to mediate anti-tumour responses, thereby reducing the therapeutic efficacy of cetuximab. These results underscore the importance of targeting these inhibitory pathways to enhance the function of NK cells within the tumour microenvironment. In particular, TIGIT emerges as a promising target for improving treatment outcomes and boosting the effectiveness of cetuximab-based therapies in mCRC. Further validation in larger prospective studies is needed to confirm the clinical utility of TIGIT and to guide patient selection.</p><p>Carmen Navarrete-Sirvent: Investigation, methodology, and writing-original draft. Ana Mantrana: Investigation and methodology. Aurora Rivas-Crespo: Investigation. Alejandra Díaz-Chacon: Investigation. Nerea M. Herrera-Casanova: Formal analysis. María Teresa Sánchez-Montero: Investigation. Marta Toledano-Fonseca: Investigation. María Victoria García-Ortiz: Investigation. María José Ortiz-Morales: Resources. Gema Pulido: Resources. Mª Teresa Cano: Resources. Auxiliadora Gómez-España: Resources. Rafael González-Fernández: Resources and methodology. Lionel Le Bourhis: Methodology and writing—review &amp; editing. Silvia Guil-Luna: Methodology and writing—review &amp; editing. Antonio Rodriguez-Ariza: Conceptualization, writing—review &amp; editing, and supervision. Enrique Aranda: Conceptualization, writing—review &amp; editing, and supervision</p><p>The authors declare no conflict of interest.</p><p>Instituto de Salud Carlos III (ISCIII), “PI20/00997”, co-funded by the European Union. A.R.A. was funded with a researcher contract through the program “Nicolás Monardes” from Junta de Andalucía.</p><p>The authors confirm that the data supporting the findings of this study are available in the PRIDE database with the project accession ID PXD057989.</p><p>The study protocol was approved by the Ethics Committee of the Reina Sofia Hospital (COLO-NK, Committee Reference 4884, version 1.0—01/12/2020) in accordance with the World Medical Association Code of Ethics (Declaration of Helsinki, 2017). Informed consent was obtained from all the patients prior to their enrolment in the study.</p><p>Not applicable.</p>","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"15 6","pages":""},"PeriodicalIF":7.9000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctm2.70351","citationCount":"0","resultStr":"{\"title\":\"Imbalanced NK cell subpopulations and TIGIT expression limit cetuximab efficacy in colorectal cancer: A promising target for treatment enhancement\",\"authors\":\"Carmen Navarrete-Sirvent,&nbsp;Ana Mantrana,&nbsp;Aurora Rivas-Crespo,&nbsp;Alejandra Díaz-Chacón,&nbsp;Nerea M. Herrera-Casanova,&nbsp;María Teresa Sánchez-Montero,&nbsp;Marta Toledano-Fonseca,&nbsp;María Victoria García-Ortiz,&nbsp;María José Ortiz-Morales,&nbsp;Gema Pulido,&nbsp;Mª Teresa Cano,&nbsp;Auxiliadora Gómez-España,&nbsp;Rafael González-Fernández,&nbsp;Lionel Le Bourhis,&nbsp;Silvia Guil-Luna,&nbsp;Antonio Rodríguez-Ariza,&nbsp;Enrique Aranda\",\"doi\":\"10.1002/ctm2.70351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Dear Editor,</p><p>Antibody-dependent cell-mediated cytotoxicity (ADCC) induced by natural killer (NK) cells is one important mechanism by which the anti-EGFR cetuximab exerts its anti-tumoral effect,<span><sup>1</sup></span> but no studies have examined NK cell profiles as a predictor of response to cetuximab in metastatic colorectal cancer (mCRC). Our findings suggest that imbalanced NK cell subpopulations and the expression of inhibitory receptors on NKs are key mechanisms that may limit the effectiveness of cetuximab, highlighting TIGIT as a promising target for enhancing treatment outcomes.</p><p>We collected blood samples from 31 mCRC patients prior to cetuximab treatment to purify NK cells for immune profiling and proteomic analyses. Patients were categorized as non-responders (NR, <i>n</i> = 14) if they progressed before 9 months, and responders (R, <i>n</i> = 17) if progression occurred after (Appendix 1). Results of clinical-pathological data and survival analyses are shown in Appendix 2 (Tables S1, S2). The only significant clinical parameter distinguishing NR and R patients was the number of cetuximab cycles (Appendix 2, Table S1). In terms of survival (Appendix 3, Figure S1), NR patients showed shorter overall survival (OS) and time to progression (TTP) compared with R patients. Besides, in our cohort the median OS and TTP were 21 and 9 months, respectively, which are comparable to results from clinical trials such as COIN (OS: 17 months, TTP: 8.6 months) or TAILOR (OS: 20 months and TTP: 9 months).<span><sup>2</sup></span> These findings validate the clinical relevance of our cohort and underscore the need for biomarkers to aid in the selection of patients who would benefit from cetuximab treatment.</p><p>To compare the molecular phenotype of NK cells between R and NR patients before cetuximab treatment, we analyzed their proteomic profiles using a data-independent acquisition (DIA) approach. Of the 4914 proteins identified, 932 were differentially expressed, with 585 downregulated and 347 upregulated in NR compared with R patients (Figure 1A; Appendix 2: Tables S3, S4). PCA analysis (Figure 1B) and unsupervised clustering (Figure 1C) revealed distinct protein expression patterns that clearly distinguished between the two groups. Moreover, the GSEA analysis of proteomic data (Figure 1D,E) revealed alterations in several biological processes in NKs from NR, including TGFβ, p53, TNFα, and KRAS signalling pathways, suggesting NK dysfunction.<span><sup>3, 4</sup></span> Hence, metabolic alteration in NK cells has been linked to the overexpression of peroxisome proliferator-activated receptors (PPARs), which suppresses mTOR-mediated glycolysis and interferes with the maturation process from less cytotoxic to potent cytotoxic NK phenotypes.<span><sup>5</sup></span> Therefore, the overactivation of these pathways may contribute to impaired NK function through a variety of immune evasion mechanisms which correlates with the reduced responsiveness of NR patients to cetuximab treatment. These findings support the role of NK cell regulation and phenotype as key factors in the cetuximab response in mCRC.</p><p>Notably, and consistent with the proteomic analysis, although no differences were observed in CD45+ lymphocytes (Appendix 3: Figure S2) NK cell immunophenotyping data (Figure 2) confirmed that NR patients exhibited a higher percentage of non-cytotoxic NKs (CD56<sup>Bright</sup> and CD56<sup>Dim</sup> CD16<sup>−</sup>) and elevated expression of CD57 and the inhibitory receptor TIGIT, combined with reduced levels of cytotoxic and activating receptors, including NKG2A, NKG2C, NKp30, and NKp46. Similar results were found when these markers were analysed in NKT cells (Appendix 3: Figure S3). This profile strongly indicates a senescent or exhausted NK cell phenotype in NR patients, which may underlie their lack of responsiveness to cetuximab.<span><sup>6</sup></span></p><p>To further assess the potential of these receptors as predictive biomarkers for cetuximab response, we constructed ROC curves, which revealed that these NK cell-related parameters have strong predictive value (Appendix 3: Figure S4A). Among these biomarkers, TIGIT proved to be highly effective, achieving an area under the curve (AUC) of .8410, which indicates its high predictive value, and reinforces the association between high TIGIT expression and non-response to treatment.</p><p>TIGIT, also known as WUCAM, VSTM3, and VSIG9, has been identified as an inhibitory receptor in T cells, NK cells, memory T cells, and Tregs.<span><sup>7</sup></span> Remarkably, TIGIT has significant implications for tumour progression and immune evasion.<span><sup>8</sup></span> However, to date few studies have related circulating TIGIT+ immune cells with poor prognosis in cancer. In our study, higher expression of TIGIT in circulating NK cells was associated with poor outcomes in mCRC patients receiving cetuximab as first-line treatment (Appendix 3: Figure S4B,C). Therefore, TIGIT expression on NK cells emerges as a valuable clinical marker for predicting treatment outcomes in mCRC patients undergoing cetuximab as first-line therapy.</p><p>Our findings of elevated TIGIT expression in NK cells from NR patients strongly support TIGIT as a promising target for combination cancer immunotherapy strategies aimed at enhancing ADCC efficacy. To date, no studies have explored this therapeutic approach. Our in vitro experiments demonstrated that TIGIT blockade with tiragolumab, in combination with cetuximab, not only boosted cetuximab-mediated ADCC (Figure 3; control: 12.77%, cetuximab: 24.90% and combined treatment: 42.7%) but also significantly facilitated the infiltration and activation of NKs within tumour spheroids (Figure 4; increment control:1, cetuximab: 1.226 and combined treatment: 1.683). These findings are in line with studies demonstrating that TIGIT blockade can promote increased NK cell infiltration and improved function within tumours.<span><sup>9</sup></span> Additionally, our data, along with findings from other studies, indicate that TIGIT expression is higher on CD56<sup>Dim</sup> NK cells,<span><sup>10</sup></span> which could explain the differential effects of TIGIT blockade observed across NK cell subsets.</p><p>In conclusion, our findings suggest that the imbalance of NK cell subpopulations, along with the expression of inhibitory receptors on NK cells, plays a crucial role in limiting the effectiveness of cetuximab in mCRC patients. Specifically, the presence of inhibitory receptors like TIGIT on NK cells appears to dampen their ability to mediate anti-tumour responses, thereby reducing the therapeutic efficacy of cetuximab. These results underscore the importance of targeting these inhibitory pathways to enhance the function of NK cells within the tumour microenvironment. In particular, TIGIT emerges as a promising target for improving treatment outcomes and boosting the effectiveness of cetuximab-based therapies in mCRC. Further validation in larger prospective studies is needed to confirm the clinical utility of TIGIT and to guide patient selection.</p><p>Carmen Navarrete-Sirvent: Investigation, methodology, and writing-original draft. Ana Mantrana: Investigation and methodology. Aurora Rivas-Crespo: Investigation. Alejandra Díaz-Chacon: Investigation. Nerea M. Herrera-Casanova: Formal analysis. María Teresa Sánchez-Montero: Investigation. Marta Toledano-Fonseca: Investigation. María Victoria García-Ortiz: Investigation. María José Ortiz-Morales: Resources. Gema Pulido: Resources. Mª Teresa Cano: Resources. Auxiliadora Gómez-España: Resources. Rafael González-Fernández: Resources and methodology. Lionel Le Bourhis: Methodology and writing—review &amp; editing. Silvia Guil-Luna: Methodology and writing—review &amp; editing. Antonio Rodriguez-Ariza: Conceptualization, writing—review &amp; editing, and supervision. Enrique Aranda: Conceptualization, writing—review &amp; editing, and supervision</p><p>The authors declare no conflict of interest.</p><p>Instituto de Salud Carlos III (ISCIII), “PI20/00997”, co-funded by the European Union. A.R.A. was funded with a researcher contract through the program “Nicolás Monardes” from Junta de Andalucía.</p><p>The authors confirm that the data supporting the findings of this study are available in the PRIDE database with the project accession ID PXD057989.</p><p>The study protocol was approved by the Ethics Committee of the Reina Sofia Hospital (COLO-NK, Committee Reference 4884, version 1.0—01/12/2020) in accordance with the World Medical Association Code of Ethics (Declaration of Helsinki, 2017). Informed consent was obtained from all the patients prior to their enrolment in the study.</p><p>Not applicable.</p>\",\"PeriodicalId\":10189,\"journal\":{\"name\":\"Clinical and Translational Medicine\",\"volume\":\"15 6\",\"pages\":\"\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ctm2.70351\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70351\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70351","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
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摘要

自然杀伤(NK)细胞诱导的抗体依赖细胞介导的细胞毒性(ADCC)是抗egfr西妥昔单抗发挥其抗肿瘤作用的一个重要机制,但没有研究检验NK细胞谱作为转移性结直肠癌(mCRC)对西妥昔单抗反应的预测因子。我们的研究结果表明,不平衡的NK细胞亚群和NK上抑制受体的表达是可能限制西妥昔单抗有效性的关键机制,突出了TIGIT作为提高治疗结果的有希望的靶点。我们收集了31例mCRC患者在西妥昔单抗治疗前的血液样本,以纯化NK细胞进行免疫谱分析和蛋白质组学分析。如果患者在9个月前出现进展,则分为无反应(NR, n = 14),如果在9个月后出现进展,则分为反应(R, n = 17)(附录1)。临床病理数据和生存分析结果见附录2(表S1、S2)。区分NR和R患者的唯一重要临床参数是西妥昔单抗周期数(附录2,表S1)。在生存方面(附录3,图S1),与R患者相比,NR患者的总生存期(OS)和进展时间(TTP)更短。此外,在我们的队列中,中位OS和TTP分别为21个月和9个月,这与COIN (OS: 17个月,TTP: 8.6个月)或TAILOR (OS: 20个月,TTP: 9个月)等临床试验的结果相当这些发现验证了我们的队列的临床相关性,并强调了生物标志物的必要性,以帮助选择从西妥昔单抗治疗中受益的患者。为了比较西妥昔单抗治疗前R和NR患者NK细胞的分子表型,我们使用数据独立获取(DIA)方法分析了他们的蛋白质组学谱。在鉴定的4914个蛋白中,932个蛋白差异表达,与R患者相比,NR中585个蛋白下调,347个蛋白上调(图1A;附录2:表S3、表S4)。PCA分析(图1B)和无监督聚类(图1C)揭示了两组之间明显不同的蛋白质表达模式。此外,蛋白质组学数据的GSEA分析(图1D,E)揭示了NR中NK的几个生物学过程的改变,包括TGFβ、p53、TNFα和KRAS信号通路,表明NK功能障碍。3,4因此,NK细胞的代谢改变与过氧化物酶体增殖激活受体(ppar)的过度表达有关,ppar抑制mtor介导的糖酵解,并干扰从低细胞毒性到强细胞毒性NK表型的成熟过程因此,这些通路的过度激活可能通过多种免疫逃避机制导致NK功能受损,这与NR患者对西妥昔单抗治疗的反应性降低有关。这些发现支持NK细胞调节和表型作为西妥昔单抗在mCRC中的关键因素的作用。值得注意的是,与蛋白质组学分析一致,尽管在CD45+淋巴细胞中没有观察到差异(附件3:图S2), NK细胞免疫表型数据(图2)证实NR患者表现出更高比例的非细胞毒性NKs (CD56Bright和CD56Dim CD16−),CD57和抑制受体TIGIT的表达升高,同时细胞毒性和激活受体水平降低,包括NKG2A, NKG2C, NKp30和NKp46。当在NKT细胞中分析这些标记物时,发现了类似的结果(附录3:图S3)。这一特征强烈表明NR患者的衰老或耗尽NK细胞表型,这可能是他们对西妥昔单抗缺乏反应的原因。为了进一步评估这些受体作为西妥昔单抗反应预测生物标志物的潜力,我们构建了ROC曲线,显示这些NK细胞相关参数具有很强的预测价值(附录3:图S4A)。在这些生物标志物中,TIGIT被证明是非常有效的,达到了0.8410的曲线下面积(AUC),这表明其具有很高的预测价值,并且强化了高TIGIT表达与治疗无反应之间的关联。TIGIT,也被称为WUCAM、VSTM3和VSIG9,已被确定为T细胞、NK细胞、记忆T细胞和treg中的抑制受体。值得注意的是,TIGIT对肿瘤进展和免疫逃避具有重要意义然而,到目前为止,很少有研究将循环TIGIT+免疫细胞与癌症预后不良联系起来。在我们的研究中,循环NK细胞中TIGIT的高表达与接受西妥昔单抗作为一线治疗的mCRC患者预后不良相关(附录3:图S4B,C)。因此,NK细胞上的TIGIT表达成为预测西妥昔单抗作为一线治疗的mCRC患者治疗结果的有价值的临床指标。 我们的研究结果表明,NR患者NK细胞中TIGIT的表达升高,有力地支持了TIGIT作为联合癌症免疫治疗策略的一个有希望的靶点,旨在提高ADCC的疗效。到目前为止,还没有研究探索这种治疗方法。我们的体外实验表明,替拉单抗与西妥昔单抗联合阻断TIGIT不仅提高了西妥昔单抗介导的ADCC(图3;对照组:12.77%,西妥昔单抗:24.90%,联合治疗:42.7%),但也显著促进肿瘤球体内NKs的浸润和激活(图4;增量控制:1,西妥昔单抗:1.226,联合治疗:1.683)。这些发现与研究表明TIGIT阻断可以促进NK细胞浸润增加和肿瘤内功能改善相一致此外,我们的数据以及其他研究结果表明,TIGIT在CD56Dim NK细胞中的表达更高,10这可以解释在NK细胞亚群中观察到的TIGIT阻断的差异效应。总之,我们的研究结果表明,NK细胞亚群的失衡以及NK细胞上抑制受体的表达在限制西妥昔单抗在mCRC患者中的有效性方面起着至关重要的作用。具体来说,NK细胞上TIGIT等抑制性受体的存在似乎会抑制其介导抗肿瘤反应的能力,从而降低西妥昔单抗的治疗效果。这些结果强调了靶向这些抑制途径以增强NK细胞在肿瘤微环境中的功能的重要性。特别是,TIGIT成为改善mCRC治疗结果和提高西妥昔单抗治疗有效性的有希望的靶点。需要在更大规模的前瞻性研究中进一步验证,以确认TIGIT的临床应用并指导患者选择。Carmen Navarrete-Sirvent:调查、方法论和写作——原稿。Ana Mantrana:调查和方法论。奥罗拉·里瓦斯-克雷斯波:调查。Alejandra Díaz-Chacon:调查。Nerea M. Herrera-Casanova:形式分析。María Teresa Sánchez-Montero:调查。Marta Toledano-Fonseca:调查。María维多利亚García-Ortiz:调查。María josousy Ortiz-Morales:资源。Gema Pulido:资源。特蕾莎·卡诺:资源。Auxiliadora Gómez-España:资源。Rafael González-Fernández:资源和方法。莱昂内尔·勒布尔希:方法论与写作评论编辑。Silvia guill - luna:方法论和写作评论&;编辑。安东尼奥·罗德里格斯-阿里扎:概念化,写作-评论&;编辑和监督。恩里克·阿兰达:概念化,写作评论&;作者声明无利益冲突。卡洛斯三世研究所(ISCIII),“PI20/00997”,由欧盟共同资助。A.R.A.是由Junta de Andalucía通过“Nicolás Monardes”项目签订的研究合同资助的。作者确认,支持本研究结果的数据可在PRIDE数据库中获得,项目登录ID为PXD057989。该研究方案由索菲亚王后医院伦理委员会(COLO-NK,委员会参考文献4884,版本1.0-01/12/2020)根据世界医学协会伦理准则(赫尔辛基宣言,2017年)批准。所有患者在入组研究前均获得了知情同意。不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imbalanced NK cell subpopulations and TIGIT expression limit cetuximab efficacy in colorectal cancer: A promising target for treatment enhancement

Dear Editor,

Antibody-dependent cell-mediated cytotoxicity (ADCC) induced by natural killer (NK) cells is one important mechanism by which the anti-EGFR cetuximab exerts its anti-tumoral effect,1 but no studies have examined NK cell profiles as a predictor of response to cetuximab in metastatic colorectal cancer (mCRC). Our findings suggest that imbalanced NK cell subpopulations and the expression of inhibitory receptors on NKs are key mechanisms that may limit the effectiveness of cetuximab, highlighting TIGIT as a promising target for enhancing treatment outcomes.

We collected blood samples from 31 mCRC patients prior to cetuximab treatment to purify NK cells for immune profiling and proteomic analyses. Patients were categorized as non-responders (NR, n = 14) if they progressed before 9 months, and responders (R, n = 17) if progression occurred after (Appendix 1). Results of clinical-pathological data and survival analyses are shown in Appendix 2 (Tables S1, S2). The only significant clinical parameter distinguishing NR and R patients was the number of cetuximab cycles (Appendix 2, Table S1). In terms of survival (Appendix 3, Figure S1), NR patients showed shorter overall survival (OS) and time to progression (TTP) compared with R patients. Besides, in our cohort the median OS and TTP were 21 and 9 months, respectively, which are comparable to results from clinical trials such as COIN (OS: 17 months, TTP: 8.6 months) or TAILOR (OS: 20 months and TTP: 9 months).2 These findings validate the clinical relevance of our cohort and underscore the need for biomarkers to aid in the selection of patients who would benefit from cetuximab treatment.

To compare the molecular phenotype of NK cells between R and NR patients before cetuximab treatment, we analyzed their proteomic profiles using a data-independent acquisition (DIA) approach. Of the 4914 proteins identified, 932 were differentially expressed, with 585 downregulated and 347 upregulated in NR compared with R patients (Figure 1A; Appendix 2: Tables S3, S4). PCA analysis (Figure 1B) and unsupervised clustering (Figure 1C) revealed distinct protein expression patterns that clearly distinguished between the two groups. Moreover, the GSEA analysis of proteomic data (Figure 1D,E) revealed alterations in several biological processes in NKs from NR, including TGFβ, p53, TNFα, and KRAS signalling pathways, suggesting NK dysfunction.3, 4 Hence, metabolic alteration in NK cells has been linked to the overexpression of peroxisome proliferator-activated receptors (PPARs), which suppresses mTOR-mediated glycolysis and interferes with the maturation process from less cytotoxic to potent cytotoxic NK phenotypes.5 Therefore, the overactivation of these pathways may contribute to impaired NK function through a variety of immune evasion mechanisms which correlates with the reduced responsiveness of NR patients to cetuximab treatment. These findings support the role of NK cell regulation and phenotype as key factors in the cetuximab response in mCRC.

Notably, and consistent with the proteomic analysis, although no differences were observed in CD45+ lymphocytes (Appendix 3: Figure S2) NK cell immunophenotyping data (Figure 2) confirmed that NR patients exhibited a higher percentage of non-cytotoxic NKs (CD56Bright and CD56Dim CD16) and elevated expression of CD57 and the inhibitory receptor TIGIT, combined with reduced levels of cytotoxic and activating receptors, including NKG2A, NKG2C, NKp30, and NKp46. Similar results were found when these markers were analysed in NKT cells (Appendix 3: Figure S3). This profile strongly indicates a senescent or exhausted NK cell phenotype in NR patients, which may underlie their lack of responsiveness to cetuximab.6

To further assess the potential of these receptors as predictive biomarkers for cetuximab response, we constructed ROC curves, which revealed that these NK cell-related parameters have strong predictive value (Appendix 3: Figure S4A). Among these biomarkers, TIGIT proved to be highly effective, achieving an area under the curve (AUC) of .8410, which indicates its high predictive value, and reinforces the association between high TIGIT expression and non-response to treatment.

TIGIT, also known as WUCAM, VSTM3, and VSIG9, has been identified as an inhibitory receptor in T cells, NK cells, memory T cells, and Tregs.7 Remarkably, TIGIT has significant implications for tumour progression and immune evasion.8 However, to date few studies have related circulating TIGIT+ immune cells with poor prognosis in cancer. In our study, higher expression of TIGIT in circulating NK cells was associated with poor outcomes in mCRC patients receiving cetuximab as first-line treatment (Appendix 3: Figure S4B,C). Therefore, TIGIT expression on NK cells emerges as a valuable clinical marker for predicting treatment outcomes in mCRC patients undergoing cetuximab as first-line therapy.

Our findings of elevated TIGIT expression in NK cells from NR patients strongly support TIGIT as a promising target for combination cancer immunotherapy strategies aimed at enhancing ADCC efficacy. To date, no studies have explored this therapeutic approach. Our in vitro experiments demonstrated that TIGIT blockade with tiragolumab, in combination with cetuximab, not only boosted cetuximab-mediated ADCC (Figure 3; control: 12.77%, cetuximab: 24.90% and combined treatment: 42.7%) but also significantly facilitated the infiltration and activation of NKs within tumour spheroids (Figure 4; increment control:1, cetuximab: 1.226 and combined treatment: 1.683). These findings are in line with studies demonstrating that TIGIT blockade can promote increased NK cell infiltration and improved function within tumours.9 Additionally, our data, along with findings from other studies, indicate that TIGIT expression is higher on CD56Dim NK cells,10 which could explain the differential effects of TIGIT blockade observed across NK cell subsets.

In conclusion, our findings suggest that the imbalance of NK cell subpopulations, along with the expression of inhibitory receptors on NK cells, plays a crucial role in limiting the effectiveness of cetuximab in mCRC patients. Specifically, the presence of inhibitory receptors like TIGIT on NK cells appears to dampen their ability to mediate anti-tumour responses, thereby reducing the therapeutic efficacy of cetuximab. These results underscore the importance of targeting these inhibitory pathways to enhance the function of NK cells within the tumour microenvironment. In particular, TIGIT emerges as a promising target for improving treatment outcomes and boosting the effectiveness of cetuximab-based therapies in mCRC. Further validation in larger prospective studies is needed to confirm the clinical utility of TIGIT and to guide patient selection.

Carmen Navarrete-Sirvent: Investigation, methodology, and writing-original draft. Ana Mantrana: Investigation and methodology. Aurora Rivas-Crespo: Investigation. Alejandra Díaz-Chacon: Investigation. Nerea M. Herrera-Casanova: Formal analysis. María Teresa Sánchez-Montero: Investigation. Marta Toledano-Fonseca: Investigation. María Victoria García-Ortiz: Investigation. María José Ortiz-Morales: Resources. Gema Pulido: Resources. Mª Teresa Cano: Resources. Auxiliadora Gómez-España: Resources. Rafael González-Fernández: Resources and methodology. Lionel Le Bourhis: Methodology and writing—review & editing. Silvia Guil-Luna: Methodology and writing—review & editing. Antonio Rodriguez-Ariza: Conceptualization, writing—review & editing, and supervision. Enrique Aranda: Conceptualization, writing—review & editing, and supervision

The authors declare no conflict of interest.

Instituto de Salud Carlos III (ISCIII), “PI20/00997”, co-funded by the European Union. A.R.A. was funded with a researcher contract through the program “Nicolás Monardes” from Junta de Andalucía.

The authors confirm that the data supporting the findings of this study are available in the PRIDE database with the project accession ID PXD057989.

The study protocol was approved by the Ethics Committee of the Reina Sofia Hospital (COLO-NK, Committee Reference 4884, version 1.0—01/12/2020) in accordance with the World Medical Association Code of Ethics (Declaration of Helsinki, 2017). Informed consent was obtained from all the patients prior to their enrolment in the study.

Not applicable.

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来源期刊
CiteScore
15.90
自引率
1.90%
发文量
450
审稿时长
4 weeks
期刊介绍: Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.
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