<p>Dear Editor:</p><p>Because aging plays critical roles in immune response and tumour development, alterations of the tumour immune microenvironment with age may be predictive of prognosis. Hence, we analysed single-cell RNA-seq (scRNA-seq) data of gastrointestinal (GI) tract tumours to search for immune cells enriched in elderly patients, and thereby raised an immune index with potential clinical values.</p><p>We initially constructed a single-cell atlas using scRNA-seq datasets from Gene Expression Omnibus (GEO) for gastric cancer (GC) , colorectal carcinoma (CRC) and oesophageal carcinoma (OSCA), which contained 115 samples and 419 000 cells (Figure S1A,B and Table S1). The lymphoid and myeloid cells were reclustered to subpopulations (Figures S1C–G and S2A,B; Figure 1A,B), and their biased distributions in older (>60 years) and younger (≤60 years) patients were evaluated by the ratio of observed to expected cell numbers (Ro/e) analysis<span><sup>1</sup></span> (Figure 1C). For each subpopulation showing preference for older patients, the top 100 differentially expressed genes were employed to score patients from TCGA datasets via ssGSEA.<span><sup>2</sup></span> The following Kaplan–Meier analysis revealed several subpopulations that were inversely correlated to survival (Figure 1D and Table S2). Further analysis of the differentially expressed genes of these subpopulations discovered multiple commonly enriched pathways (Figure S2C–F). Moreover, among these subpopulations, the CD8T_C2 and Proli_T_C1 had high expression of T cell exhaustion markers (Figure S2G), although this may not necessarily stand for a canonical exhaustion state. Taken together, several immune subpopulations are enriched in older GI tract tumour patients and may affect prognosis.</p><p>We analysed the potential communications between immune subpopulations with CellChat,<span><sup>3, 4</sup></span> and evaluated strength of intercellular signalling pathway with IMPORTANCE (Figure S3A,B). Among the immune subpopulations with enrichment in older patients and correlation to prognosis, nine subpopulations demonstrated markedly altered signalling in older relative to younger patients (ΔIMPORTANCE > 10) (Figure 2A) and had intensive interactions (Figure S3C). Therefore, the nine subpopulations may constitute an elderly enriched immune meta-cluster (EIM). Deconvolution analysis of spatial transcriptomic data for GC tumours defined distinctive distribution patterns of immune subpopulations, and the pattern with preference for older patients contained several EIM component subpopulations (Figure 2B–D and Figure S3D). The spatial co-enrichment of EIM component subpopulations were observed by multiple methods (Figure S3D,E). Moreover, GI tract tumour patients in TCGA were scored for EIM followed by Kaplan–Meier analysis, which revealed an inverse correlation between EIM and survival (Figure 2E and Figure S3F). Meanwhile, pathway enrichment network analysis of the signature gen
{"title":"Alterations of the immune microenvironment with age predicts patient prognosis of gastrointestinal tract tumours","authors":"Fangzhen Li, Jingjing Chen, Junjie Wang, Qiuhong Zhu, Cuiying Chu, Zhiwen Zhang, Yuting Deng, Liang Zhang, Xu Lu, Wei Wang, Huipeng Wang, Dongxue Li, Aili Zhang, Hai-bo Wu, Wenchao Zhou","doi":"10.1002/ctm2.70592","DOIUrl":"10.1002/ctm2.70592","url":null,"abstract":"<p>Dear Editor:</p><p>Because aging plays critical roles in immune response and tumour development, alterations of the tumour immune microenvironment with age may be predictive of prognosis. Hence, we analysed single-cell RNA-seq (scRNA-seq) data of gastrointestinal (GI) tract tumours to search for immune cells enriched in elderly patients, and thereby raised an immune index with potential clinical values.</p><p>We initially constructed a single-cell atlas using scRNA-seq datasets from Gene Expression Omnibus (GEO) for gastric cancer (GC) , colorectal carcinoma (CRC) and oesophageal carcinoma (OSCA), which contained 115 samples and 419 000 cells (Figure S1A,B and Table S1). The lymphoid and myeloid cells were reclustered to subpopulations (Figures S1C–G and S2A,B; Figure 1A,B), and their biased distributions in older (>60 years) and younger (≤60 years) patients were evaluated by the ratio of observed to expected cell numbers (Ro/e) analysis<span><sup>1</sup></span> (Figure 1C). For each subpopulation showing preference for older patients, the top 100 differentially expressed genes were employed to score patients from TCGA datasets via ssGSEA.<span><sup>2</sup></span> The following Kaplan–Meier analysis revealed several subpopulations that were inversely correlated to survival (Figure 1D and Table S2). Further analysis of the differentially expressed genes of these subpopulations discovered multiple commonly enriched pathways (Figure S2C–F). Moreover, among these subpopulations, the CD8T_C2 and Proli_T_C1 had high expression of T cell exhaustion markers (Figure S2G), although this may not necessarily stand for a canonical exhaustion state. Taken together, several immune subpopulations are enriched in older GI tract tumour patients and may affect prognosis.</p><p>We analysed the potential communications between immune subpopulations with CellChat,<span><sup>3, 4</sup></span> and evaluated strength of intercellular signalling pathway with IMPORTANCE (Figure S3A,B). Among the immune subpopulations with enrichment in older patients and correlation to prognosis, nine subpopulations demonstrated markedly altered signalling in older relative to younger patients (ΔIMPORTANCE > 10) (Figure 2A) and had intensive interactions (Figure S3C). Therefore, the nine subpopulations may constitute an elderly enriched immune meta-cluster (EIM). Deconvolution analysis of spatial transcriptomic data for GC tumours defined distinctive distribution patterns of immune subpopulations, and the pattern with preference for older patients contained several EIM component subpopulations (Figure 2B–D and Figure S3D). The spatial co-enrichment of EIM component subpopulations were observed by multiple methods (Figure S3D,E). Moreover, GI tract tumour patients in TCGA were scored for EIM followed by Kaplan–Meier analysis, which revealed an inverse correlation between EIM and survival (Figure 2E and Figure S3F). Meanwhile, pathway enrichment network analysis of the signature gen","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"16 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12779932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145917207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Proteins play a central role in virtually all biological processes and serve as critical indicators of health and disease. Despite their importance, protein-based diagnostics remain far less developed than nucleic acid-based approaches. A major limitation is the insufficient sensitivity of current proteomic technologies, which typically require either enzymatic digestion of proteins into peptides or their immobilisation on surfaces for affinity-based detection.<span><sup>1</sup></span> These strategies inherently discard information encoded in full-length proteins and rely heavily on the availability and performance of high-quality antibodies.</p><p>Soni et al.<span><sup>2</sup></span> report a fundamentally different approach for antibody-free, full-length protein fingerprinting based on solid-state nanopores. A nanopore is a nanometre-scale aperture in a thin insulating membrane that separates two electrolyte reservoirs. When a biopolymer translocates through the pore under an applied electric field, it transiently modulates the ionic current, producing a signal that reflects the molecule's physical and chemical properties.<span><sup>3</sup></span> This principle underpins nanopore-based DNA sequencing, in which variations in ionic current are used to infer the nucleotide sequence of individual DNA molecules. The success of nanopore DNA sequencing is attributable to several intrinsic features of DNA: a uniformly charged backbone, the closely related chemical structures of its four nucleotides and the availability of enzymes that regulate DNA motion through the pore. Extending this framework to proteins, however, is substantially more challenging because of the immense diversity in protein size, charge distribution and three-dimensional structure. Additionally, unlike DNA, proteins cannot be amplified, imposing stringent requirements on the sensor's limit of detection (LoD).</p><p>To overcome key barriers such as single-file translocation and limited temporal resolution,<span><sup>4</sup></span> Soni et al.<span><sup>2</sup></span> introduce a chemo-selective labelling strategy (Figure 1). Proteins are denatured and site-specifically conjugated at cysteine residues with short single-stranded DNA oligonucleotides (5- or 10-mers) using click chemistry. Remarkably, proteins labelled with a 5-mer oligonucleotide exhibit a distinctive stick–slip translocation mechanism, characterised by prolonged transient binding within the nanopore at the oligonucleotide–cysteine junction. This behaviour is absent in unconjugated proteins and results in an approximately 20-fold slowing of translocation dynamics. Molecular dynamics simulations corroborate the mechanistic origin of these interactions. This controlled slowdown enables the generation of time-resolved ionic current pulses, which serve as proxies for the positions of cysteine residues along the protein backbone. These pulse patterns constitute protein-specific fingerprints. Using only a few tens of tr
{"title":"Single-molecule electrical protein fingerprinting in solid-state nanopores","authors":"Neeraj Soni, Amit Meller","doi":"10.1002/ctm2.70589","DOIUrl":"10.1002/ctm2.70589","url":null,"abstract":"<p>Proteins play a central role in virtually all biological processes and serve as critical indicators of health and disease. Despite their importance, protein-based diagnostics remain far less developed than nucleic acid-based approaches. A major limitation is the insufficient sensitivity of current proteomic technologies, which typically require either enzymatic digestion of proteins into peptides or their immobilisation on surfaces for affinity-based detection.<span><sup>1</sup></span> These strategies inherently discard information encoded in full-length proteins and rely heavily on the availability and performance of high-quality antibodies.</p><p>Soni et al.<span><sup>2</sup></span> report a fundamentally different approach for antibody-free, full-length protein fingerprinting based on solid-state nanopores. A nanopore is a nanometre-scale aperture in a thin insulating membrane that separates two electrolyte reservoirs. When a biopolymer translocates through the pore under an applied electric field, it transiently modulates the ionic current, producing a signal that reflects the molecule's physical and chemical properties.<span><sup>3</sup></span> This principle underpins nanopore-based DNA sequencing, in which variations in ionic current are used to infer the nucleotide sequence of individual DNA molecules. The success of nanopore DNA sequencing is attributable to several intrinsic features of DNA: a uniformly charged backbone, the closely related chemical structures of its four nucleotides and the availability of enzymes that regulate DNA motion through the pore. Extending this framework to proteins, however, is substantially more challenging because of the immense diversity in protein size, charge distribution and three-dimensional structure. Additionally, unlike DNA, proteins cannot be amplified, imposing stringent requirements on the sensor's limit of detection (LoD).</p><p>To overcome key barriers such as single-file translocation and limited temporal resolution,<span><sup>4</sup></span> Soni et al.<span><sup>2</sup></span> introduce a chemo-selective labelling strategy (Figure 1). Proteins are denatured and site-specifically conjugated at cysteine residues with short single-stranded DNA oligonucleotides (5- or 10-mers) using click chemistry. Remarkably, proteins labelled with a 5-mer oligonucleotide exhibit a distinctive stick–slip translocation mechanism, characterised by prolonged transient binding within the nanopore at the oligonucleotide–cysteine junction. This behaviour is absent in unconjugated proteins and results in an approximately 20-fold slowing of translocation dynamics. Molecular dynamics simulations corroborate the mechanistic origin of these interactions. This controlled slowdown enables the generation of time-resolved ionic current pulses, which serve as proxies for the positions of cysteine residues along the protein backbone. These pulse patterns constitute protein-specific fingerprints. Using only a few tens of tr","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"16 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12779010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145917166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}