Evidence map›Paper›PMID 36849702›Full record

ArticleHistopathology2023

Molecular correlates of invasion pattern in HPV-associated endocervical adenocarcinoma: emergence of two distinct risk-stratified tiers.

Aarti E Sharma, Anjelica J Hodgson, Brooke E Howitt, Ekaterina Olkhov-Mitsel, Bojana Djordevic, Kay J Park, Marisa R Nucci, Carlos Parra-Herran

Open access · bronzeAbstract read
In one paragraph

Article in Histopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Association between Silva pattern-based classification and endocervical adenocarcinoma: a systematic review and meta-analysis.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Pooled it
  2. 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

8 authors at 5 institutions in 2 countries.

Aarti E SharmaDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Anjelica J HodgsonDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Brooke E HowittDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-0309-6680
Ekaterina Olkhov-MitselDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Bojana DjordevicDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Kay J ParkDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0001-8989-2938
Marisa R NucciDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Carlos Parra-HerranDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1420-7291
Brigham and Women's Hospital · USSunnybrook Health Science Centre · CAMemorial Sloan Kettering Cancer Center · USStanford University · USUniversity of Toronto · CA

Funding

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

Abstract

backgroundThe pattern-based (Silva) classification of invasive human papilloma virus (HPV)-associated endocervical adenocarcinomas (HPVA) is an established and reproducible method to predict outcomes for this otherwise stage-dependent group of tumours. Previous studies utilising targeted sequencing have shown a correlation between mutational profiles and an invasive pattern. However, such correlation has not been explored using comprehensive molecular testing.

designClinicopathologic data including invasive pattern (Silva groups A, B, and C) was collected for a cohort of invasive HPVA, which previously underwent massive parallel sequencing using a panel covering 447 genes. Pathogenic alterations, molecular signatures, tumour mutational burden (TMB), and copy number alterations (CNA) were correlated with pattern of invasion.

resultsForty five HPVA (11 pattern A, 17 pattern B, and 17 pattern C tumours) were included. Patients with pattern A presented at stage I with no involved lymph nodes or evidence of recurrence (in those with >2 months of follow-up). Patterns B and C patients also mostly presented at stage I with negative lymph nodes, but had a greater frequency of recurrence; 3/17 pattern B and 1/17 pattern C HPVAs harboured lymphovascular space invasion (LVI). An APOBEC mutational signature was detected only in Silva pattern C tumours (5/17), and pathogenic PIK3CA changes were detected only in destructively invasive HPVA (patterns B and C). When cases were grouped as low-risk (pattern A and pattern B without LVI) and high-risk (pattern B with LVI and pattern C), high-risk tumours were enriched in mutations in PIK3CA, ATRX, and ERBB2. There was a statistically significant difference in TMB between low-risk and high-risk pattern tumours (P = 0.006), as well as between Pattern C tumours with and without an APOBEC signature (P = 0.002). CNA burden increased from pattern A to C.

conclusionOur findings further indicate that key molecular events in HPVA correlate with the morphologic invasive properties of the tumour and their aggressiveness. Pattern B tumours with LVI clustered with pattern C tumours, whereas pattern B tumours without LVI approached pattern A genotypically. Our study provides a biologic foundation for consolidating the Silva system into low-risk (pattern A + B without LVI) and high-risk (pattern B with LVI and pattern C) categories.

Indexed as

AdenocarcinomaPapillomavirus InfectionsUterine Cervical NeoplasmsBiomarkers, TumorFemaleHuman Papillomavirus VirusesHumansNeoplasm InvasivenessPrognosisBiomarkers, TumorAPOBECERBB2HPVinvasive endocervical adenocarcinomaNext generation sequencingPIK3CASilva classification

Identifiers

PMID36849702
PMCPMC10263975
OpenAlexW4322486914

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.