Evidence map›Paper›PMID 40177134›Full record

ArticleOncology letters2025

Risk score model for predicting local control and survival in patients with rectal cancer treated with neoadjuvant chemoradiotherapy.

Tuba Kurt Catal, Günay Can, İsmaı L Fatı H Demı Rel, Sefika Arzu Ergen, Dı dem Colpan Öksüz

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Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tuba Kurt CatalDepartment of Radiation Oncology, Necip Fazıl City Hospital, 46080 Kahramanmaras, Turkey.
Günay CanDepartment of Public Health, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, 34098 Istanbul, Turkey.
İsmaı L Fatı H Demı RelDepartment of Radiation Oncology, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, 34098 Istanbul, Turkey.
Sefika Arzu ErgenDepartment of Radiation Oncology, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, 34098 Istanbul, Turkey.
Dı dem Colpan ÖksüzDepartment of Radiation Oncology, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, 34098 Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate clinicopathological factors affecting local recurrence and survival in patients with locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT) and to create a risk-scoring model predicting local control (LC) and survival. The clinical and pathological data of 115 patients who received nCRT for LARC between February 2010 and December 2020 were reviewed retrospectively. A risk-scoring model was developed to predict LC and survival using statistically significant prognostic factors in univariate and multivariate analyses. In the multivariate analysis, the LC rate was improved in patients with a good pathological response to nCRT. By contrast, the disease-free survival (DFS) rate was significantly worse in patients with perineural invasion (PNI). The overall survival (OS) rate was significantly worse in patients who were >60 years of age, who had tumors ≥5 cm, who were PNI-positive and who had pathological N2 stage disease. Patients were grouped to analyze the ability of the scoring system to predict LC and survival. The total score was derived by assigning points to the prognostic factors in univariate and multivariate analyses and was subsequently divided into three groups according to tertile. The median LC times in groups 1-3 were significantly different at 143.6, 97.2 and 93.6 months, respectively. The median DFS times in groups 1-3 were significantly different at 136.1, 108.5 and 67.2 months, respectively, while the median OS times in groups 1-3 were significantly different at 138.3, 87.2 and 64.6 months, respectively. In conclusion, risk score modeling with prognostic factors effectively determined the difference in LC and survival between the groups. Adding effective systemic therapy to nCRT may improve results, especially in patients with multiple poor prognostic factors, including larger tumors, PNI and multiple nodal involvement.

Indexed as

neoadjuvant chemoradiotherapyprognostic factorsrectal cancerrisk score modeling

Identifiers

PMID40177134
PMCPMC11962578

What Socratic holds

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Registered trials

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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.