Evidence map›Paper›PMID 39328726›Full record

ArticleIndian journal of surgical oncology2024

Shining Light on Rarity: Mucoepidermoid Carcinoma of the Esophagus with Absence of MAML2 Gene Rearrangement.

Md Ali Osama, Swati Sharma, Priti Chatterjee, Anjali Mittal, Manoj Andley, Aanchal Kakkar

Abstract readCase Reports
In one paragraph

Article in Indian 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Md Ali OsamaDepartment of Pathology, Lady Hardinge Medical College, New Delhi, India.ORCID 0000-0002-0660-9939
Swati SharmaDepartment of Pathology, Lady Hardinge Medical College, New Delhi, India.
Priti ChatterjeeDepartment of Pathology, Lady Hardinge Medical College, New Delhi, India.ORCID 0000-0002-3287-9190
Anjali MittalDepartment of Pathology, Dr Baba Saheb Ambedkar Medical College, New Delhi, India.
Manoj AndleyDepartment of Surgery, Lady Hardinge Medical College, New Delhi, India.
Aanchal KakkarDepartment of Pathology, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary mucoepidermoid carcinoma of the esophagus is a rare condition characterized by a combination of squamous and mucin-secreting glandular malignant cells. Its clinical recognition is often challenging, pre-operative diagnosis is difficult, and there is a lack of standardized treatment protocols. Here, we present the clinicopathological characteristics of a previously underreported esophageal malignancy found in the distal esophagus of a 58-year-old woman. The initial endoscopic biopsy posed diagnostic challenges due to its small size and inadequate representation of glandular differentiation components making a final diagnosis of poorly differentiated squamous cell carcinoma. Recognizing the resectability of the tumor prompted surgical removal, revealing islands of squamous cells along with intermediate cells and mucin pools. Additionally, MECs in majority of the cases show MAML2 gene rearrangement; contrarily, the present case showed negative results. Enhanced clinicopathological awareness of esophageal MEC facilitated a definitive diagnosis and better patient management. It is imperative to increase awareness and globally document cases of esophageal MEC to enhance understanding, diagnosis, and management guidelines for this malignancy in this anatomical location.

Indexed as

EsophagusMAML2Mucoepidermoid

Identifiers

PMID39328726
PMCPMC11422531

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.