Evidence map›Paper›PMID 39780110›Full record

ArticleBMC cancer2025

Identification of cancer cell-intrinsic biomarkers associated with tumor progression and characterization of SFTA3 as a tumor suppressor in lung adenocarcinomas.

Yu Zhao, Chengcheng Zhou, Ling Zuo, Haoming Yan, Yuhan Gu, Hong Liu, Guiping Yu, Xiaorong Zhou

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

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

8 authors.

Yu Zhao *Department of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China.
Chengcheng Zhou *Department of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China.
Ling ZuoDepartment of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China.
Haoming YanDepartment of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China.
Yuhan GuDepartment of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China.
Hong LiuDepartment of Hematology, Affiliated Hospital and Medical School of Nantong University, Nantong, China.
Guiping YuDepartment of Cardiothoracic Surgery, Jiangyin People's Hospital Affiliated to Nantong University, Jiangyin, China. xiaoyuer97103@163.com.
Xiaorong ZhouDepartment of Immunology, Medical School of Nantong University, 19 Qixiu Road, Nantong, 226000, China. zhouxiaorong@ntu.edu.cn.

Funding

College Student Practice and Innovation Training Program 202410304037ZJiangyin City Young Scientists Foundation JYOYT202302National Natural Science Foundation of China 32170915Wuxi Shuangbai Talent Program BJ2020104
6 · The paper itself

Abstract

backgroundRecent advancements in contemporary therapeutic approaches have increased the survival rates of lung cancer patients; however, the long-term benefits remain constrained, underscoring the pressing need for novel biomarkers. Surfactant-associated 3 (SFTA3), a long non-coding RNA predominantly expressed in normal lung epithelial cells, plays a crucial role in lung development. Nevertheless, its function in lung adenocarcinoma (LUAD) remains inadequately understood.

methodsSingle-cell RNA sequencing data were utilized to identify novel cancer cell-intrinsic gene signatures associated with the progression of LUAD, and their roles in LUAD were comprehensively analyzed. Serum samples were collected to quantify the expression levels of SFTA3 in LUAD patients. Furthermore, a series of biological experiments, including cell viability assays, scratch wound healing assays, and colony formation assays, were conducted to demonstrate the tumor-suppressive effects of SFTA3. RNA sequencing was performed to elucidate the molecular mechanisms underlying the role of SFTA3 in lung cancer cells.

resultsWe constructed a prognostic model comprising eight genes: ALDOA, ATP5MD, SERPINH1, SFTA3, SLK, U2SURP, SCGB1A1, and SCGB1A3. The model effectively stratified patients into high- and low-risk categories, revealing that low-risk patients experienced superior clinical outcomes, exhibited an immunologically hot tumor microenvironment (TME), and had a greater probability of responding to immunotherapy. In contrast, the high-risk group exhibited a cold TME and may benefit more from chemotherapy. Furthermore, our study revealed that a progressive decrease in SFTA3 expression in cancer cells was correlated with tumor advancement. Notably, the serum levels of SFTA3 significantly decreased in patients with LUAD, suggesting its potential utility in liquid biopsy for LUAD diagnosis. Additionally, the knockdown of SFTA3 enhances the proliferation and migration of lung cancer cells, whereas its overexpression inhibits these phenotypes. The epithelial-mesenchymal transition pathway was significantly enriched following SFTA3 silencing, suggesting that SFTA3 may impact tumor progression by modulating this process. We also identified key transcription factors and epigenetic mechanisms implicated in the downregulation of SFTA3 in LUAD.

conclusionWe developed a robust prognostic model and identified SFTA3 as a novel biomarker with potential applications in the diagnosis, prognosis, and personalized treatment of LUAD. Additionally, our findings offer new insights into the mechanisms underlying LUAD tumorigenesis and immune evasion.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorDisease ProgressionLung NeoplasmsCell Line, TumorCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansMaleMiddle AgedPrognosisSingle-Cell AnalysisBiomarkers, TumorLung adenocarcinomaPrognostic modelSFTA3Single-cell RNA sequencingTumor microenvironment

Identifiers

PMID39780110
PMCPMC11707868

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.