Singh Abhinay Kumar, Batra Atul, Upadhaya Ashish Datt, Gupta Subhash, K P Haresh, Dey Sharmistha
Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
Medical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Front Oncol. 2022 Jul 7;12:851807. doi: 10.3389/fonc.2022.851807. eCollection 2022.
Early detection of metastatic breast cancer (MBC) is a serious issue for the healthcare system. It is essential to develop potential non-invasive, low-cost molecular biomarkers. The present study explored specific serum proteins of inflammatory, MAPK, and cytoskeletal signaling pathways involved in the progression of MBC to establish a panel of blood-based diagnostic and prognostic biomarkers. Healthy-control (HC), non-metastatic (NM), and metastatic (M) (pre- and post-therapy) breast cancer (BC) patients were recruited. LOX5, Rac1, Rac1b, p38α, phospho-p38α (Y182), LIMK1, phospho-LIMK1 (T508), cofilin1, and phospho-cofilin1 (S3) were quantified in the serum of the study group by real-time label-free surface plasmon resonance technology and verified by Western blot. Proteins were found to be significantly elevated in the serum of BC patients compared to HC and also higher in M compared to NM, which further downregulated in post-therapy M patients. Elevation of phospho-LIMK1 and phospho-cofilin1, which are critical for M, was also indicated in the serum level and can differentiate from NM. Receiver operating characteristics (ROC) derived area under the curve (AUC) (0.9) is very strong to differentiate between HC and BC. Moreover, the combined ROC of 3 molecules phospho-LIMK, p38α, and phospho-p38α were found to be a potent predictive panel of biomarkers between M and NM with AUC0.95. The panel of inflammatory cytoskeleton signaling regime proteins specified in this study can have significant clinical utility for diagnosis as well as prognosis of MBC at an early stage. The study may have a high translational value in a simple and cost-effective way by avoiding frequent CT/PET scans.
转移性乳腺癌(MBC)的早期检测对医疗系统而言是一个严峻问题。开发潜在的非侵入性、低成本分子生物标志物至关重要。本研究探索了参与MBC进展的炎症、丝裂原活化蛋白激酶(MAPK)和细胞骨架信号通路的特定血清蛋白,以建立一组基于血液的诊断和预后生物标志物。招募了健康对照(HC)、非转移性(NM)和转移性(M)(治疗前和治疗后)乳腺癌(BC)患者。通过实时无标记表面等离子体共振技术对研究组血清中的赖氨酰氧化酶5(LOX5)、Rac1、Rac1b、p38α、磷酸化p38α(Y182)、LIM激酶1(LIMK1)、磷酸化LIMK1(T508)、丝切蛋白1(cofilin1)和磷酸化丝切蛋白1(S3)进行定量,并通过蛋白质印迹法进行验证。结果发现,与HC相比,BC患者血清中的这些蛋白显著升高,且与NM相比,M患者血清中的这些蛋白更高,而治疗后的M患者血清中的这些蛋白进一步下调。对M至关重要的磷酸化LIMK1和磷酸化丝切蛋白1的升高在血清水平上也有体现,并且可以与NM区分开来。受试者工作特征(ROC)曲线下面积(AUC)(0.9)对于区分HC和BC非常有效。此外,发现磷酸化LIMK、p38α和磷酸化p38α这3种分子的联合ROC在区分M和NM方面是一个有效的生物标志物预测组合,AUC为0.95。本研究中指定的炎症细胞骨架信号通路蛋白组合对于MBC的早期诊断和预后可能具有重要的临床应用价值。该研究通过避免频繁的CT/PET扫描,可能以简单且经济有效的方式具有较高的转化价值。