Evidence map›Paper›PMID 37177979›Full record

ArticleAnnals of medicine2023

RNA-seq analysis identifies transcriptomic profiles associated with anal cancer recurrence among people living with HIV.

Yuanfan Ye, Kevin J Maroney, Howard W Wiener, Olga A Mamaeva, Anna D Junkins, Greer A Burkholder, Staci L Sudenga, Mohd Khushman, Sameer Al Diffalha, Anju Bansal and 1 more

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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
  2. Review
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

11 authors at 2 institutions in 1 country.

Yuanfan YeDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL, USA.
Kevin J MaroneyDepartment of Medicine, Division of Infectious Diseases, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Howard W WienerDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL, USA.
Olga A MamaevaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL, USA.
Anna D JunkinsDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL, USA.
Greer A BurkholderDepartment of Medicine, Division of Infectious Diseases, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Staci L SudengaDivision of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Mohd KhushmanO'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Sameer Al DiffalhaDepartment of Pathology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Anju BansalDepartment of Medicine, Division of Infectious Diseases, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Sadeep ShresthaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, AL, USA.
University of Alabama at Birmingham · USVanderbilt University Medical Center · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Omer Jamy · 1985 to 2026
$165.9M
Tumor-Infiltrating Lymphocytes in Anal Cancer and Pre-malignant Anal LesionsK07CA225404 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SUDENGA, STACI L · 2018 to 2022
$742k
NCI NIH HHS K07 CA225404NCI NIH HHS P30 CA013148
6 · The paper itself

Abstract

backgroundChemoradiation therapy (CRT) is the standard of care for squamous cell carcinoma of the anus (SCCA), the most common type of anal cancer. However, approximately one fourth of patients still relapse after CRT.

methodsWe used RNA-sequencing technology to characterize coding and non-coding transcripts in tumor tissues from CRT-treated SCCA patients and compare them between 9 non-recurrent and 3 recurrent cases. RNA was extracted from FFPE tissues. Library preparations for RNA-sequencing were created using SMARTer Stranded Total RNA-Seq Kit. All libraries were pooled and sequenced on a NovaSeq 6000. Function and pathway enrichment analysis was performed with Metascape and enrichment of gene ontology (GO) was performed with Gene Set Enrichment Analysis (GSEA).

resultsThere were 449 differentially expressed genes (DEGs) observed (390 mRNA, 12 miRNA, 17 lincRNA and 18 snRNA) between the two groups. We identified a core of upregulated genes ( Our study identified key host factors which may drive the recurrence of SCCA and warrants further studies to understand the mechanism and evaluate their potential use in personalized treatment.Key MessageOur study used RNA sequencing (RNA-seq) to identify pivotal factors in coding and non-coding transcripts which differentiate between patients at risk for recurrent anal cancer after treatment. There were 449 differentially expressed genes (390 mRNA, 12 miRNA, 17 lincRNA and 18 snRNA) between 9 non-recurrent and 3 recurrent squamous cell carcinoma of anus (SCCA) tissues. The enrichment of genes related to allograft rejection was observed in the non-recurrent SCCA tissues, while the enrichment of genes related to epidermis development was positively linked with recurrent SCCA tissues.

Indexed as

Anus NeoplasmsCarcinoma, Squamous CellHIV InfectionsMicroRNAsRNA, Long NoncodingHedgehog ProteinsHumansRecurrenceRNA, MessengerSequence Analysis, RNATranscriptomeHedgehog ProteinsMicroRNAsRNA, Long NoncodingRNA, Messengeranal cancercancer recurrencePLWHRNA-seqtranscriptome profiletreatment response

Identifiers

PMID37177979
PMCPMC10184583
OpenAlexW4376503898

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.