Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
13 authors.
Zhi-Fei Su *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Chen-Zhou Wu *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Hao-Ran Ding *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Qi ZhanState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Lei ChengState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0002-2762-4740
Ji-Yao LiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Xue-Dong ZhouState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0002-9319-7302
Long-Jiang LiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0003-1446-0692
Li-Xin ZhangState Key Laboratory of Bioreactor Engineering, School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China.ORCID 0000-0003-0894-9520
Jing LiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
Yi LiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0002-6819-2462
Biao RenState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0003-4215-2873
Funding
MOST | National Natural Science Foundation of China (NSFC) 32470205 82401116MOST | National Natural Science Foundation of China (NSFC) 81972546MOST | National Natural Science Foundation of China (NSFC) 82303107Research and Develop Program, West China School of Stomatology Sichuan University RD-02-202510SPDST | Natural Science Foundation of Sichuan Province () 2024NSFSC0546SPDST | Natural Science Foundation of Sichuan Province () 2024NSFSC1584SPDST | Natural Science Foundation of Sichuan Province () 2024NSFSC3438The Applied Basic Research Programs of Sichuan Province 2020YJ0227The Basic & Applied Basic Research Project from West China School of Stomatology Sichuan University RD-02-2022009The Fund of State Key Laboratory of Oral Diseases SKLOD-2025RD008The Health Commission of Sichuan Province chuanganyan 2024-901The Sichuan Science and Technology Program 2022YFS0285The XinMiao Research Funding from West China Hospital of Stomatology Sichuan University RCDWJS2022-8
6 · The paper itself
Abstract
Head and neck squamous cell carcinoma (HNSCC) involves aggressive invasion at the tumor-host interface, particularly at the leading edge. However, the mechanisms sustaining this invasive front remain unclear. Here, we performed spatially resolved multiomics profiling to characterize the leading-edge multicellular ecosystem (LEMCE) of HNSCC. We identified a set of twelve autocrine ligands, including TGFB1, ICAM1, and TNC, that support a stable invasive transcriptional state. Impaired fatty acid (FA) degradation in this region enhances autocrine ligands and amplifies proinvasive gene expression. Spatial single-cell analysis revealed that the specific resident cells in the LEMCE, which exhibited increased expression of autocrine ligands and impaired FA degradation, participated in a fibroblast-macrophage-T cell interaction circuit involving MMP1
Indexed as
Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckTumor MicroenvironmentAnimalsAutocrine CommunicationCell Line, TumorFatty AcidsFibroblastsGene Expression Regulation, NeoplasticHumansMacrophagesMiceMultiomicsNeoplasm InvasivenessFatty Acidscancer invasioncancer leading-edge ecosystemHNSCCspatial multiomics
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Spatially resolved multiomics reveals the self-enforcing property of the leading-edge multicellular ecosystem of head and neck cancer. · full record | OpenQuestion