# Molecular Characteristics, Potential Mechanisms, and Prognostic Gene Model of Younger Female Patients With Gastric Cancer

**Authors:** Xiaoyi Luan, Lulu Zhao, Wanqing Wang, Penghui Niu, Xue Han, Zerong Wang, Xiaojie Zhang, Dongbing Zhao, Yingtai Chen

PMC · DOI: 10.1002/cnr2.70469 · Cancer Reports · 2026-03-03

## TL;DR

This study explores the unique molecular features and survival risks in younger female gastric cancer patients, identifying a six-gene model to predict prognosis.

## Contribution

The study introduces a novel six-gene prognostic model for younger female gastric cancer patients based on differential gene expression and hormone-related pathways.

## Key findings

- Younger female gastric cancer patients show distinct hormone-related pathway enrichments compared to older patients.
- A six-gene model (NREP, GAD1, SLCO4A1, KRT17, DEFB1, P3H2) predicts overall survival with an AUC of 0.810.
- High-risk younger female patients have significantly worse survival outcomes than low-risk patients.

## Abstract

Male patients were twice as likely to develop gastric cancer (GC) compared to females, partly due to the protective effect of estrogen. However, the proportion of females increased in the young GC patients.

The study was designed to explore comprehensive molecular profiles of younger female GC patients, as well as develop a prognostic gene model for female GC patients.

Gene expression and clinical data of GC and nontumor patients were downloaded from the Gene Expression Omnibus (GEO) database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) were used to find molecular characteristics and potential mechanisms of younger female GC patients. The prognostic gene model containing six differential expressed genes (DEGs), which were between younger and older female patients, was established using Lasso–Cox regression. Its performance was validated by external validation. Then, receiver operating characteristic (ROC) curve was applied to determine the prognostic value of the prognostic gene model.

Six GEO cohorts with 305 female GC patients (69 younger patients and 236 older patients) and 38 female nontumor patients were included. A total of 4557 DEGs between female GC patients and nontumor patients were identified, including 2212 upregulated genes and 2345 downregulated genes. Estrogen response early (p < 0.001) and estrogen response late (p < 0.001) were enriched in female GC patients. In KEGG analysis, aldosterone (p = 0.023) and relaxin pathways (p = 0.043) were concentrated in the younger group. Moreover, we further used the GSE84437 cohort to construct a prognostic gene model containing six genes, namely NREP, GAD1, SLCO4A1, KRT17, DEFB1, and P3H2, to predict the overall survival (OS) of female GC patients (AUC = 0.810). In the overall analysis of female GC patients, high‐risk patients showed worse OS than low‐risk patients (HR = 5.7688, 95% CI: 3.0108–11.0530, p < 0.001). Compared with older female patients, younger female patients had a higher tendency to be in the high‐risk group (31.1% vs. 18.3%, p = 0.018).

In conclusion, we provided the comprehensive molecular profiles of younger female GC patients and found that there was a significant difference in enriched hormone‐related pathways between the younger group and the older group. Compared with older female patients, younger female patients were more likely to be in the high‐risk group, which showed worse OS than low‐risk patients.

## Linked entities

- **Genes:** NREP (neuronal regeneration related protein) [NCBI Gene 9315], GAD1 (glutamate decarboxylase 1) [NCBI Gene 2571], SLCO4A1 (solute carrier organic anion transporter family member 4A1) [NCBI Gene 28231], KRT17 (keratin 17) [NCBI Gene 3872], DEFB1 (defensin beta 1) [NCBI Gene 1672], P3H2 (prolyl 3-hydroxylase 2) [NCBI Gene 55214]
- **Diseases:** gastric cancer (MONDO:0001056)

## Full-text entities

- **Genes:** USP1 (ubiquitin specific peptidase 1) [NCBI Gene 7398] {aka UBP}, GCNT3 (glucosaminyl (N-acetyl) transferase 3, mucin type) [NCBI Gene 9245] {aka C2/4GnT, C24GNT, C2GNT2, C2GNTM, GNTM}, DEFB1 (defensin beta 1) [NCBI Gene 1672] {aka BD1, DEFB-1, DEFB101, HBD1}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, ZHX2 (zinc fingers and homeoboxes 2) [NCBI Gene 22882] {aka AFR1, RAF}, RPL37A (ribosomal protein L37a) [NCBI Gene 6168] {aka L37A, eL43}, INSR (insulin receptor) [NCBI Gene 3643] {aka CD220, HHF5}, WDR48 (WD repeat domain 48) [NCBI Gene 57599] {aka Bun62, P80, SPG60, UAF1}, ATR (ATR checkpoint kinase) [NCBI Gene 545] {aka FCTCS, FRP1, MEC1, SCKL, SCKL1}, RET (ret proto-oncogene) [NCBI Gene 5979] {aka CDHF12, CDHR16, HSCR1, MEN2A, MEN2B, MTC1}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, KDR (kinase insert domain receptor) [NCBI Gene 3791] {aka CD309, FLK1, VEGFR, VEGFR2}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, SRC (SRC proto-oncogene, non-receptor tyrosine kinase) [NCBI Gene 6714] {aka ASV, SRC1, THC6, c-SRC, p60-Src}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, P3H2 (prolyl 3-hydroxylase 2) [NCBI Gene 55214] {aka LEPREL1, MCVD, MLAT4}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, COL6A3 (collagen type VI alpha 3 chain) [NCBI Gene 1293] {aka BTHLM1, BTHLM1C, DYT27, UCMD1, UCMD1C}, PRL (prolactin) [NCBI Gene 5617] {aka GHA1, pPRL}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, TAF1 (TATA-box binding protein associated factor 1) [NCBI Gene 6872] {aka BA2R, CCG1, CCGS, DYT3, DYT3/TAF1, KAT4}, KRT17 (keratin 17) [NCBI Gene 3872] {aka 39.1, CK-17, K17, PC2, PCHC1}, CDH1 (cadherin 1) [NCBI Gene 999] {aka Arc-1, BCDS1, CD324, CDHE, ECAD, LCAM}, GH1 (growth hormone 1) [NCBI Gene 2688] {aka GH, GH-N, GHB5, GHN, IGHD1A, IGHD1B}, IGF1R (insulin like growth factor 1 receptor) [NCBI Gene 3480] {aka CD221, IGFIR, IGFR, JTK13}, NREP (neuronal regeneration related protein) [NCBI Gene 9315] {aka C5orf13, D4S114, P311, PRO1873, PTZ17, SEZ17}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, HOTAIR (HOX transcript antisense RNA) [NCBI Gene 100124700] {aka HOXAS, HOXC-AS4, HOXC11-AS1, NCRNA00072}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CDH17 (cadherin 17) [NCBI Gene 1015] {aka CDH16, HPT-1, HPT1}, RPL27A (ribosomal protein L27a) [NCBI Gene 6157] {aka L27A, uL15}, BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596] {aka Bcl-2, PPP1R50}, PDGFRB (platelet derived growth factor receptor beta) [NCBI Gene 5159] {aka CD140B, IBGC4, IMF1, JTK12, KOGS, OPDKD}, RPS6KB1 (ribosomal protein S6 kinase B1) [NCBI Gene 6198] {aka PS6K, S6K, S6K-beta-1, S6K1, STK14A, p70 S6KA}, HDAC9 (histone deacetylase 9) [NCBI Gene 9734] {aka HD7, HD7b, HD9, HDAC, HDAC7B, HDAC9B}, KIT (KIT proto-oncogene, receptor tyrosine kinase) [NCBI Gene 3815] {aka C-Kit, CD117, MASTC, PBT, SCFR}, KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845] {aka 'C-K-RAS, C-K-RAS, CFC2, K-RAS2A, K-RAS2B, K-RAS4A}, PORCN (porcupine O-acyltransferase) [NCBI Gene 64840] {aka DHOF, FODH, MG61, PORC, PPN}, SLCO4A1 (solute carrier organic anion transporter family member 4A1) [NCBI Gene 28231] {aka OATP-E, OATP4A1, OATPE, OATPRP1, POAT, SLC21A12}, ABL1 (ABL proto-oncogene 1, non-receptor tyrosine kinase) [NCBI Gene 25] {aka ABL, BCR-ABL, CHDSKM, JTK7, bcr/abl, c-ABL}
- **Diseases:** GC (MESH:D013274), MESENCHYME (MESH:C535700), TNM I (MESH:D006969), gastric carcinogenesis (MESH:D063646), HPV infection (MESH:D030361), salmonella infection (MESH:D012480), inflammation (MESH:D007249), Tumor (MESH:D009369), gastric diseases (MESH:D013272), TNM IV (MESH:D006011), ovarian cancer (MESH:D010051), MESENCHYME DEVELOPMENT (MESH:D002658), TMN (MESH:C562476), Chronic Diseases (MESH:D002908), gastrointestinal stromal tumors (MESH:D046152), metastasis (MESH:D009362), TNM III (MESH:C537189), hypothyroidism (MESH:D007037), TNM II (MESH:C537730), GEO (MESH:D001039), PROTEIN (MESH:D011488), Hp infection (MESH:D007239)
- **Chemicals:** LGK974 (MESH:C586458), progesterone (MESH:D011374), Sorafenib (MESH:D000077157), Fulvestrant (MESH:D000077267), Oxaliplatin (MESH:D000077150), Navitoclax (MESH:C528561), MK-2206 (MESH:C548887), BMS-345541 (MESH:C471109), Tamoxifen (MESH:D013629), Aldosterone (MESH:D000450), tricarboxylic acid (MESH:D014233), Palbociclib (MESH:C500026), VE821 (MESH:C560580), Ribociclib (MESH:C000589651), VE-822 (MESH:C000598331), PF-4708671 (MESH:C552719), Dihydrorotenone (MESH:C044985), AZD1332 (-), GSK1904529A (MESH:C000607695), Vorinostat (MESH:D000077337), Dasatinib (MESH:D000069439), Selumetinib (MESH:C517975)
- **Species:** Human papillomavirus (species) [taxon 10566], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

71 references — full list in the complete paper: https://tomesphere.com/paper/PMC12954549/full.md

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Source: https://tomesphere.com/paper/PMC12954549