Single-cell transcriptome combined with biosensing： a new framework to develope molecular diagnostic methods for cervical cancer

YAN Zhen; ZHAO Chao; AN Jiahui; XIE Wenjing; PENG Hanyong; ZHANG Xiaobo; LI Mingzhu; CHEN Xin; XU Li; XIE Qunhui; WEI Lihui

doi:10.12211/2096-8280.2025-084

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Single-cell transcriptome combined with biosensing： a new framework to develope molecular diagnostic methods for cervical cancer

Invited Review | 更新时间：2026-03-07

- Single-cell transcriptome combined with biosensing： a new framework to develope molecular diagnostic methods for cervical cancer
- Synthetic Biology Journal Vol. 7, Issue 1, Pages: 113-128(2026)
- 作者机构：
  
  1.中国科学院生态环境研究中心，环境化学与环境毒理全国重点实验室，北京 100085
  2.中国科学院大学资源与环境学院，北京 100049
  3.北京大学人民医院妇产科，北京 100044
  4.北京大学人民医院病理科，北京 100044
- 作者简介：
- 基金信息：
- DOI：10.12211/2096-8280.2025-084
  CLC： Q81
- Received：04 August 2025，
  
  Revised：2025-10-11，
  
  Published：28 February 2026
- 稿件说明：
移动端阅览
鄢震，赵超，安佳慧，谢文菁，彭汉勇，张晓波，李明珠，陈新，徐丽，谢群慧，魏丽惠. 单细胞转录组联合生物传感——宫颈癌分子诊断方法研发新框架［J］. 合成生物学， 2026， 7（1）： 113-128

YAN Zhen， ZHAO Chao， AN Jiahui， XIE Wenjing， PENG Hanyong， ZHANG Xiaobo， LI Mingzhu， CHEN Xin， XU Li， XIE Qunhui， WEI Lihui. Single-cell transcriptome combined with biosensing： a new framework to develope molecular diagnostic methods for cervical cancer［J］. Synthetic Biology Journal， 2026， 7（1）： 113-128
鄢震，赵超，安佳慧，谢文菁，彭汉勇，张晓波，李明珠，陈新，徐丽，谢群慧，魏丽惠. 单细胞转录组联合生物传感——宫颈癌分子诊断方法研发新框架［J］. 合成生物学， 2026， 7（1）： 113-128 DOI： 10.12211/2096-8280.2025-084.

YAN Zhen， ZHAO Chao， AN Jiahui， XIE Wenjing， PENG Hanyong， ZHANG Xiaobo， LI Mingzhu， CHEN Xin， XU Li， XIE Qunhui， WEI Lihui. Single-cell transcriptome combined with biosensing： a new framework to develope molecular diagnostic methods for cervical cancer［J］. Synthetic Biology Journal， 2026， 7（1）： 113-128 DOI： 10.12211/2096-8280.2025-084.

摘要

宫颈癌（cervical cancer）作为全球性女性健康威胁之一，其精准诊疗是临床的迫切需求。现行的“三阶梯”宫颈癌筛查策略虽然已将宫颈癌的主要致病因素之一——高危型人乳头瘤病毒（human papillomavirus， HPV）感染纳入其中，但因HPV感染并非宫颈癌患病的充分必要条件，筛查的假阳性率较高，容易导致过度诊疗，急需发展有效且功能明确的宫颈癌分子标志物（molecular markers），辅助临床诊疗，提高诊断的精准度。目前宫颈癌分子标志物的发现与转化过程中存在两个瓶颈问题：一是现有分子标志物研发技术手段对其功能解析的分辨率不足，难以克服肿瘤异质性的干扰；二是现有分子标志物检测方法在灵敏度和定量可靠性等方面的不足，导致了对其临床功能的验证和临床转化的限制。本文提出了一种联合单细胞转录组（single cell RNA sequencing， scRNA-seq）与生物传感（biosensing）技术的研究框架，以推动更高功能分辨率的宫颈癌分子标志物的发现，和面向临床应用的分子诊断方法的技术转化。该框架引入了目前先进单细胞转录组以及基于合成生物学原理设计的生物传感系统，如面向分子标志物的定量和组织分布研究的高灵敏的原位杂交技术和CRISPR-Cas介导的核酸检测新技术，这些技术作为关键的“转化引擎”，可为宫颈癌的早期发现和精准诊疗赋能。该多技术联合策略有望建立更具临床应用价值的宫颈癌分子诊断分层体系，推动宫颈癌诊疗从单纯的“病毒筛查”向“分子精准诊断”跨越，最终改善患者的预后管理与生存质量。

Abstract

Cervical cancer remains a significant global threat to women’s health

responsible for approximately 600 000 new cases and 310 000 deaths worldwide in 2020. This highlights the urgent clinical need for more precise diagnosis and treatment. The current “three-step” screening strategy incorporates testing for high-risk human papillomavirus (HPV)

one of the primary causative agents for cervical cancer. However

this approach is hampered by a high false-positive rate

as HPV infection is not sufficient and necessary conditions for the onset and progression of cervical cancer; only a small proportion of infected women can develop cervical intraepithelial neoplasia (CIN) or cancer

which often leads to overdiagnosis and overtreatment. Consequently

there is a pressing need

emphasized by recent WHO guidelines

to develop effective and functionally well-defined molecular biomarkers to improve the precision of clinical triage and diagnosis. This review addresses two critical bottlenecks impeding the discovery and translation of such biomarkers. The first is the lower effectiveness of existing technologies to overcome the challenge of tumor heterogeneity

where the molecular signals of critical malignant cell subpopulations are often obscured in bulk tissue analyses. The second bottleneck is the limitation of current detection methods used for validation

which often lack of the sensitivity

quantitative reliability

and throughput required for robust clinical verification. To overcome these obstacles

we propose a research framework that integrates single-cell omics with advanced biosensing technologies. This framework first leverages single-cell transcriptomics to decipher tumor heterogeneity at an unparalleled resolution

enabling the discovery of

higher-quality biomarker candidates by identifying gene expression signatures unique to the specific subgroup of cells driving malignant progression. Subsequently

these candidates are validated using biosensing systems engineered through synthetic biology principles

such as high-sensitivity

in situ

hybridization for quantitative tissue analysis and novel CRISPR-Cas-mediated nucleic acid detection technologies. These advanced platforms may offer programmable

ultra-sensitive

and highly specific detection of biomarkers in clinical samples. By synergizing high-resolution discovery with high-fidelity validation

this framework may not only facilitate a more complete characterization of novel biomarkers

but also provides a direct pathway for translating these biosensing platforms into scalable clinical diagnostic kits. These technologies may serve as key drivers to enhance the early detection and precise management of cervical cancer.

关键词

Keywords

references

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