Evidence map›Paper›PMID 39268326›Full record

ArticleCureus2024

Uncommon Histopathological Subtypes and Variants of Cervical Carcinoma Diagnosed at a Tertiary Care Centre: A Case Series.

Veda Samhitha N S, Divya Dhanabal, Sandhya Sundaram, Pavithra V, Subalakshmi Balasubramanian

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers 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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

5 authors.

Veda Samhitha N SPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Divya DhanabalPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Sandhya SundaramPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Pavithra VPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Subalakshmi BalasubramanianPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Cervical cancer ranks among the top gynaecological cancers worldwide. It is linked to lower socioeconomic status and high human papillomavirus (HPV) prevalence. This is a series of six cervical carcinoma cases analysed from 2021 to 2023 at our tertiary care centre to identify rare subtypes of cervical carcinoma. We document rare subtypes, which include glassy cell carcinoma, small cell neuroendocrine carcinoma, papillary squamous-transitional variant, basaloid squamous cell carcinoma and serous carcinoma of the uterine cervix. Immunohistochemistry (IHC) was helpful in confirmation of the subtypes and in diagnosing HPV-associated cases. Materials and methods This case series comprises six cases, including rare subtypes and variants of cervical carcinoma histopathologically diagnosed by the Department of Pathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India, between 2021 and 2023. The demographic profile and patient details were obtained from the hospital information system and archival case files after obtaining informed consent from the patients. The H&E and relevant IHC slides along with histopathology reports of the included cases were analysed and studied. Results This series includes six cases of rare subtypes of cervical carcinoma, comprising glassy cell carcinoma, small cell neuroendocrine carcinoma, papillary squamous-transitional variant, basaloid squamous cell carcinoma (SCC), and serous carcinoma. Each subtype displays distinct clinicopathological features, emphasizing the need for specific diagnostic and treatment approaches, which are crucial in improving patient survival. Conclusion Six rare subtypes and variants of cervical carcinoma have been discussed in this case series, after correlating with histopathology reports and clinical and radiological findings. Understanding the histopathological characteristics of these rarer subtypes is essential for accurate diagnosis and timely intervention. This series highlights the importance of comprehensive screening strategies, early diagnosis and awareness of rarer subtypes and variants of cervical carcinoma among healthcare professionals. These factors can tailor therapeutic options and improve patient outcomes.

Indexed as

basaloid variant of squamous cell carcinomacervical biopsycervical carcinomahuman papillomavirus (hpv)p16 testingper vaginal bleedingpost-coital bleedingpost-menopausal bleedserous carcinomasynaptophysin

Identifiers

PMID39268326
PMCPMC11392050

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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.