Evidence map›Paper›PMID 39399490›Full record

ReviewFrontiers in immunology2024

Biomarkers of lymph node metastasis in esophageal cancer.

Ningzi Wu, Junlan Cai, Junfei Jiang, Ye Lin, Xiaoqing Wang, Weiguang Zhang, Mingqiang Kang, Peipei Zhang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Ningzi WuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Junlan CaiDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Junfei JiangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Ye LinDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaoqing WangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Weiguang ZhangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Mingqiang KangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Peipei ZhangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) is among the most aggressive malignancies, ranking as the seventh most prevalent malignant tumor worldwide. Lymph node metastasis (LNM) indicates localized spread of cancer and often correlates with a poorer prognosis, emphasizing the necessity for neoadjuvant systemic therapy before surgery. However, accurate identification of LNM in EC presents challenges due to the lack of satisfactory diagnostic techniques. Imaging techniques, including ultrasound and computerized tomography scans, have low sensitivity and accuracy in assessing LNM. Additionally, the existing serological detection lacks precise biomarkers. The intricate and not fully understood molecular processes involved in LNM of EC contribute to current detective limitations. Recent research has shown potential in using various molecules, circulating tumor cells (CTCs), and changes in the microbiota to identify LNM in individuals with EC. Through summarizing potential biomarkers associated with LNM in EC and organizing the underlying mechanisms involved, this review aims to provide insights that facilitate biomarker development, enhance our understanding of the underlying mechanisms, and ultimately address the diagnostic challenges of LNM in clinical practice.

Indexed as

Biomarkers, TumorEsophageal NeoplasmsLymphatic MetastasisNeoplastic Cells, CirculatingAnimalsHumansLymph NodesPrognosisBiomarkers, Tumorbiomarkerdiagnosisesophageal cancerlymph node metastasismolecular mechanism

Identifiers

PMID39399490
PMCPMC11466839

What OpenQuestion 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 OpenQuestion graph.