Evidence map›Paper›PMID 29851704›Full record

ArticleThe American journal of surgical pathology2018

Diagnostic Algorithmic Proposal Based on Comprehensive Immunohistochemical Evaluation of 297 Invasive Endocervical Adenocarcinomas.

Simona Stolnicu, Iulia Barsan, Lien Hoang, Prusha Patel, Luis Chiriboga, Cristina Terinte, Anna Pesci, Sarit Aviel-Ronen, Takako Kiyokawa, Isabel Alvarado-Cabrero and 4 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The American journal of surgical pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 114 citations in OpenAlex.

  1. Article
  2. Review
  3. Research Progress of HER2 in Cervical Carcinoma.Cancer management and research · 2026
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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

14 authors at 10 institutions in 7 countries.

Simona StolnicuDepartment of Pathology, University of Medicine and Pharmacy of Targu Mures, Targu Mures.
Iulia BarsanDepartment of Pathology, University of Medicine and Pharmacy of Targu Mures, Targu Mures.
Lien HoangVancouver General Hospital, Vancouver, BC, Canada.
Prusha PatelMemorial Sloan Kettering Cancer Center.
Luis ChiribogaNYU Langone Health, New York, NY.
Cristina TerinteRegional Institute of Oncology, Iasi, Romania.
Anna PesciHospital of the Sacred Heart Don Calabria, Negrar, Italy.
Sarit Aviel-RonenSheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
Takako KiyokawaJikei University School of Medicine, Tokyo, Japan.
Isabel Alvarado-CabreroHospital of Oncology, Mexico City, Mexico.
Malcolm C PikeMemorial Sloan Kettering Cancer Center.
Esther OlivaMassachusetts General Hospital, Boston, MA.
Kay J ParkMemorial Sloan Kettering Cancer Center.
Robert A SoslowMemorial Sloan Kettering Cancer Center.
Memorial Sloan Kettering Cancer Center · USUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș · ROHospital General de México · MXInstitutul Regional de Oncologie · ROJikei University School of Medicine · JPMassachusetts General Hospital · USNYU Langone Health · USOspedale Sacro Cuore Don Calabria · ITSheba Medical Center · ILVancouver General Hospital · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The International Endocervical Adenocarcinoma Criteria and Classification was developed to separate endocervical adenocarcinomas (ECAs) into 2 main categories on the basis of morphology such as human papilloma virus-associated (HPVA) and non-human papilloma virus-associated adenocarcinomas. We aimed to improve the diagnostic accuracy of International Endocervical Adenocarcinoma Criteria and Classification by performing a comprehensive immunohistochemical evaluation and constructing objective immunohistochemical-based algorithms for the classification of these tumors. Tissue microarrays were constructed from 297 of 409 cases used to develop the original classification. Immunostains included p16, p53, estrogen receptor (ER), progesterone receptor, androgen receptor, Vimentin, CK7, CK20, HER2, HIK1083, MUC6, CA-IX, SATB2, HNF-1beta, napsin A, PAX8, CDX2, GATA3, p63, p40, and TTF-1. High-risk human papilloma virus (HR-HPV) was detected by in situ hybridization (ISH) using probes against E6 and E7 mRNA expressed in 18 different virus types. Vimentin, ER, and progesterone receptor were expressed in a significant minority of ECAs, mostly HPVAs, limiting their use in differential diagnosis of endometrioid carcinoma when unaccompanied by HPV-ISH or p16. HR-HPV ISH had superior sensitivity, specificity, and negative and positive predictive values compared with p16, as published previously. HNF-1beta did not have the anticipated discriminatory power for clear cell carcinoma, nor did MUC6 or CA-IX for gastric-type carcinoma. HNF-1beta and napsin A were variably expressed in clear cell carcinoma, with HNF-1beta demonstrating less specificity, as it was ubiquitously expressed in gastric-type carcinoma and in the majority of HPV-associated mucinous (predominantly intestinal-type and invasive ECA resembling stratified mucin-producing intraepithelial lesion [iSMILE]) and usual-type carcinomas. HIK1083 was expressed in nearly half of gastric-type carcinomas, but not in the vast majority of other subtypes. GATA3 was positive in 10% of usual-type adenocarcinomas and in single examples of other subtypes. Rare gastric-type and HPVA mucinous carcinomas displayed HER2 overexpression. Androgen receptor was positive in 6% of usual-type adenocarcinomas. Aberrant p53 expression was found in only 3.6% of usual-type HPVA carcinomas, but it was more prevalent in mucinous (intestinal type and iSMILE) HPVAs and non-human papilloma virus-associates (particularly in gastric-type carcinoma, >50% of cases). The following diagnostic classification algorithms were developed with the above data. Carcinomas without overt cytoplasmic mucin (endometrioid, usual-type endocervical, clear cell, and mesonephric carcinomas) can be subclassified using HR-HPV ISH, ER, and GATA3, whereas carcinomas with easily appreciated cytoplasmic mucin (endometrioid carcinoma with mucinous features, HPVA mucinous, and gastric-type carcinomas) can be subclassified with HR-HPV ISH and ER.

Indexed as

AlgorithmsImmunohistochemistryAdenocarcinomaBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16EuropeFemaleGATA3 Transcription FactorHumansIn Situ HybridizationMucinsNeoplasm InvasivenessNorth AmericaPapillomaviridaePredictive Value of TestsReceptors, EstrogenBiomarkers, TumorCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16GATA3 protein, humanGATA3 Transcription FactorMucinsReceptors, EstrogenRNA, ViralTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID29851704
PMCPMC6041133
OpenAlexW2806652534

What OpenQuestion holds

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Registered trials

None linked

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.