Evidence map›Paper›PMID 35945577›Full record

ArticleInfectious agents and cancer2022

HPV genotyping by L1 amplicon sequencing of archived invasive cervical cancer samples: a pilot study.

Charles D Warden, Preetam Cholli, Hanjun Qin, Chao Guo, Yafan Wang, Chetan Kancharla, Angelique M Russell, Sylvana Salvatierra, Lorraine Z Mutsvunguma, Kerin K Higa and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Infectious agents and cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Charles D WardenIntegrative Genomics Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Preetam CholliDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.
Hanjun QinIntegrative Genomics Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Chao GuoIntegrative Genomics Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Yafan WangMolecular Pathology Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Chetan KancharlaResearch Informatics, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Angelique M RussellClinical Informatics, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Sylvana SalvatierraBiorepository, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Lorraine Z MutsvungumaDepartment of Immuno-Oncology, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Kerin K HigaOffice of Faculty and Institutional Support, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Xiwei WuIntegrative Genomics Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Sharon WilczynskiDepartment of Pathology, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Raju PillaiMolecular Pathology Core, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Javier Gordon OgemboDepartment of Immuno-Oncology, City of Hope National Medical Center, Duarte, CA, 91010, USA. jogembo@coh.org.
City Of Hope National Medical Center · USVanderbilt University Medical Center · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572NCI NIH HHS P30CA033572
6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) is the primary cause of invasive cervical cancer (ICC). The prevalence of various HPV genotypes, ranging from oncogenically low- to high-risk, may be influenced by geographic and demographic factors, which could have critical implications for the screening and prevention of HPV infection and ICC incidence. However, many technical factors may influence the identification of high-risk genotypes associated with ICC in different populations.

methodsWe used high-throughput sequencing of a single amplicon within the HPV L1 gene to assess the influence of patient age, race/ethnicity, histological subtype, sample type, collection date, experimental factors, and computational parameters on the prevalence of HPV genotypes detected in archived DNA (n = 34), frozen tissue (n = 44), and formalin-fixed paraffin-embedded (FFPE) tissue (n = 57) samples collected in the Los Angeles metropolitan area.

resultsWe found that the percentage of off-target human reads and the concentration of DNA amplified from each sample varied by HPV genotype and by archive type. After accounting for the percentage of human reads and excluding samples with especially low levels of amplified DNA, the HPV prevalence was 95% across all ICC samples: HPV16 was the most common genotype (in 56% of all ICC samples), followed by HPV18 (in 21%). Depending upon the genotyping parameters, the prevalence of HPV58 varied up to twofold in our cohort. In archived DNA and frozen tissue samples, we detected previously established differences in HPV16 and HPV18 frequencies based on histological subtype, but we could not reproduce those findings using our FFPE samples.

conclusionsIn this pilot study, we demonstrate that sample collection, preparation, and analysis methods can influence the detection of certain HPV genotypes and must be carefully considered when drawing any biological conclusions based on HPV genotyping data from ICC samples.

Indexed as

GenotypingHigh-throughput sequencingHuman papillomavirusInvasive cervical cancer

Identifiers

PMID35945577
PMCPMC9361560
OpenAlexW4291283782

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Textmetadata
LicenceCC BY
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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.