Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 4;44(4):792-800.
doi: 10.5937/jomb0-55634.

Prognostic value of serum NLR, PLR, P53, K67 level in lymph node metastasis of early gastric cancer

Affiliations

Prognostic value of serum NLR, PLR, P53, K67 level in lymph node metastasis of early gastric cancer

Xin Long et al. J Med Biochem. .

Abstract

Background: To explore the predictive value of relevant detection indexes and pathological serum NLR, PLR, P53, and K67 levels in lymph node metastasis (LNM) in patients with early gastric cancer (EGC) after radical surgery.

Methods: Clinical data of EGC patients (297 cases, all of whom underwent radical gastrectomy for gastric cancer) admitted to Sichuan Integrative Medicine Hospital from March 2019 to March 2024 were retrospectively included. The clinical data and pathological results were recorded and compared, and the related predictive factors were analysed.

Results: There were 43 cases (14.48%) of postoperative LNM among the 297 EGC patients. The average number of lymph nodes detected in the LNM (-) group was 28.35 ± 8.23, which was lower than in the LNM (+) group (33 ± 15), *P* < 0.01. Binary multivariate logistic regression analysis identified the following as significant predictors of postoperative LNM in EGC patients: tumour size (OR: 2.582, 95% CI: 1.205-5.534), depth of invasion (OR: 2.953, 95% CI: 1.327-6.573), vascular invasion (OR: 2.724, 95% CI: 1.241-5.976), neuroaggression (OR: 2.681, 95% CI: 1.139-6.311), differentiation type (OR: 2.426, 95% CI: 1.140-5.119), and P53 (OR: 3.133, 95% CI: 1.183-8.301), P<0.05. The area under the ROC curve (AUC) for the model based on these indexes was 0.801. Compared with the LNM (-) group, the LNM (+) group had a lower overall survival rate at 1 and 2 years (P<0.05).

Conclusions: Clinically relevant detection indexes and pathological P53 levels in patients after EGC radical surgery have a good predictive effect on the occurrence of LNM, which can assist in formulating scientific and reasonable clinical treatment plans.

Uvod: Cilj je bio da se ispita prognostička vrednost relevantnih indeksa detekcije i patolo{kih nivoa NLR, PLR, P53 i K67 u serumu kod metastaza limfnih čvorova (LNM) kod pacijenata sa ranim karcinomom želuca (EGC) nakon radikalne operacije.

Metode: Ura|ena je retrospektivna analiza kliničkih podataka pacijenata sa EGC-om (297 slučajeva, svi su podvrgnuti radikalnoj gastrektomiji zbog karcinoma želuca) primljenih u Bolnicu za integrativnu medicinu u Sičuanu od marta 2019. do marta 2024. Klinički podaci i patološki rezultati su zabeleženi i upoređeni, a analizirani su i povezani prognostički faktori.

Rezultati: Od ukupno 297 pacijenata sa EGC-om, 43 slučaja (14,48%) su imala postoperativne LNM. Prosečan broj detektovanih limfnih čvorova u grupi LNM (-) bio je 28,35 ± 8,23, što je manje u odnosu na grupu LNM (+) (33±15), P<0,01. Binarnom multivarijantnom logisti~kom regresionom analizom identifikovani su sledeći značajni prediktori postoperativnih LNM kod pacijenata sa EGC-om: veličina tumora (OR: 2,582, 95% CI: 1,205-5,534), dubina invazije (OR: 2,953, 95% CI: 1,327-6,573), vaskularna invazija (OR: 2,724, 95% CI: 1,241-5,976), neuroadresija (OR: 2,681, 95% CI: 1,139-6,311), tip diferencijacije (OR: 2,426, 95% CI: 1,140-5,119) i P53 (OR: 3,133, 95% CI: 1,183-8,301), P<0,05. Površina ispod ROC krive (AUC) za model zasnovan na ovim parametrima iznosila je 0,801. U pore|enju sa grupom LNM (-), grupa LNM (+) imala je nižu stopu preživljavanja na 1 i 2 godine (P<0,05).

Zaključak: Klinički relevantni indeksi detekcije i patološki nivoi P53 kod pacijenata nakon radikalne operacije EGC-a imaju dobru prognostičku vrednost za pojavu LNM, što može pomoći u formiranju naučno utemeljenih i racionalnih kliničkih planova lečenja.

Keywords: K67; P53; PLR; early gastric cancer; lymph node metastasis; pathological features; risk factors; serum NLR.

PubMed Disclaimer

Conflict of interest statement

All the authors declare that they have no conflict of interest in this work.Conflict of Interest: The authors stated that they have no conflicts of interest regarding the publication of this article.

Figures

Figure 1
Figure 1. Prediction of intraoperative risk column chart.
Figure 2
Figure 2. Comparison of LNM number between Non-LNM (-) group and LNM (+) group.
Figure 3
Figure 3. Comparison of LNM number between Non-LNM (-) group and LNM (+) group.

Similar articles

References

    1. Bray F, Ferlay J, Soerjomataram I, Siegel R L, Torre L A, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394. doi: 10.3322/caac.21492. - DOI - PubMed
    1. Colquhoun A, Arnold M, Ferlay J, Goodman K J, Forman D, Soerjomataram I. Global patterns of cardia and non-cardia gastric cancer incidence in 2012. Gut. 2015;64(12):1881. doi: 10.1136/gutjnl-2014-308915. - DOI - PubMed
    1. Japanese G C A. Japanese classification of gastric carcinoma: 3rd English edition. Gastric Cancer. 2011;14(2):101. doi: 10.1007/s10120-011-0041-5. - DOI - PubMed
    1. Kamiya S, Takeuchi H, Nakahara T, Niihara M, Nakamura R, Takahashi T, Wada N, Kawakubo H, Saikawa Y, Omori T, Murakami K, Kitagawa Y. Auxiliary diagnosis of lymph node metastasis in early gastric cancer using quantitative evaluation of sentinel node radioactivity. Gastric Cancer. 2016;19(4):1080. doi: 10.1007/s10120-015-0572-2. - DOI - PubMed
    1. Noh S H, Hyung W J, Cheong J H. Minimally invasive treatment for gastric cancer: Approaches and selection process. J Surg Oncol. 2005;90(3):188. doi: 10.1002/jso.20228. - DOI - PubMed

LinkOut - more resources