Evidence map›Paper›PMID 38872183›Full record

ArticleWorld journal of surgical oncology2024

Prognostic and predictive value of examined lymph node count in stage III colorectal cancer: a population based study.

Ran Wei, Zifan Zheng, Qinghai Li, Yan Qian, Chong Wu, Yin Li, Mian Wang, Jianhui Chen, Weiling He

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

9 authors.

Ran Wei *Gastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Zifan Zheng *Gastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Qinghai Li *Gastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Yan QianGastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Chong WuGastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Yin LiGastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China. Liyin2736@163.com.
Mian WangDepartment of Vascular Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China. wangm76@mail.sysu.edu.cn.
Jianhui ChenGastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China. chenjh45@mail.sysu.edu.cn.
Weiling HeGastrointestinal Surgery Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China. wlhe@xah.xmu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021B1515230009Key Research and Development Plan of Guangdong Province 2020B0101030006National Key Research And Development Plan, China 2022YFC3401000National Natural Science Foundation of China 82022037
6 · The paper itself

Abstract

backgroundThe role of tumor-draining lymph nodes in the progression of malignant tumors, including stage III colorectal cancer (CRC), is critical. However, the prognostic and predictive value of the number of examined lymph nodes (ELNs) are not fully understood.

methodsThis population-based study retrospectively analyzed data from 106,843 patients with stage III CRC who underwent surgical treatment and registered in three databases from 2004 to 2021. The Surveillance, Epidemiology, and End Results (SEER) cohort was divided using into training and test cohorts at a ratio of 3:2. We employed restricted cubic spline (RCS) curves to explore nonlinear relationships between overall survival (OS) and ELNs counts and performed Cox regression to evaluate hazard ratios across different ELNs count subtypes. Additional validation cohorts were utilized from the First Affiliated Hospital, Sun Yat-sen University and The Cancer Genome Atlas (TCGA) under the same criteria. Outcomes measured included OS, cancer-specific survival (CSS), and progression-free survival (PFS). Molecular analyses involved differential gene expression using the "limma" package and immune profiling through CIBERSORT. Tissue microarray slides and multiplex immunofluorescence (MIF) were used to assess protein expression and immune cell infiltration.

resultsPatients with higher ELNs counts (≥ 17) demonstrated significantly better long-term survival outcomes across all cohorts. Enhanced OS, CSS, and PFS were notably evident in the LN-ELN group compared to those with fewer ELNs. Cox regression models underscored the prognostic value of higher ELNs counts across different patient subgroups by age, sex, tumor differentiation, and TNM stages. Subtype analysis based on ELNs count revealed a marked survival benefit in patients treated with adjuvant chemotherapy in the medium and large ELNs counts (≥ 12), whereas those with fewer ELNs showed negligible benefits. RNA sequencing and MIF indicated elevated immune activation in the LN-ELN group, characterized by increased CD3+, CD4+, and CD8 + T cells within the tumor microenvironment.

conclusionsThe number of ELNs independently predicts survival and the immunological landscape at the tumor site in stage III CRC, underscoring its dual prognostic and predictive value.

Indexed as

Colorectal NeoplasmsLymph NodesNeoplasm StagingAgedFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesSEER ProgramSurvival RateColorectal cancerExamined lymph nodePrognosisRestricted cubic spline curvesTumor microenvironment

Identifiers

PMID38872183
PMCPMC11170906

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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 OpenQuestion graph.