Evidence map›Paper›PMID 41831145›Full record

ReviewMolecular diagnosis & therapy2026

Pre-analytical Best Practices for RNA Sequencing from Small Biopsies and Cytologic Specimens.

Gloria Hopkins Sura, Kelly B Engel, Sarah R Greytak, Sandra M Gaston, Kelsey Dillehay McKillip, Abhilasha Rao, Ping Guan, W Fraser Symmans, Rachael Clark, Maria Arcila and 3 more

Abstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

13 authors.

Gloria Hopkins SuraDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. ghsura@mdanderson.org.ORCID 0000-0003-4817-458X
Kelly B EngelGAP Solutions, Inc., Herndon, VI, USA.ORCID 0000-0003-4567-313X
Sarah R GreytakKelly Government Solutions, Rockville, MD, USA.ORCID 0000-0002-2823-7136
Sandra M GastonDesai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-0564-0459
Kelsey Dillehay McKillipDepartment of Pathology and Laboratory Medicine, University of Cincinnati Health Precision Medicine Lab, University of Cincinnati, Cincinnati, OH, USA.ORCID 0000-0002-3979-4587
Abhilasha RaoBiorepositories and Biospecimen Research Branch (BBRB), Division of Cancer Treatment and Diagnosis, Cancer Diagnosis Program, National Cancer Institute, Bethesda, MD, USA.
Ping GuanBiorepositories and Biospecimen Research Branch (BBRB), Division of Cancer Treatment and Diagnosis, Cancer Diagnosis Program, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0001-6672-4405
W Fraser SymmansDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-1526-184X
Rachael ClarkDepartment of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-2725-3257
Maria ArcilaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-5824-6554
Sayak GhatakFrederick National Laboratory for Cancer Research, Frederick, MD, USA.ORCID 0000-0002-3431-9955
Karol BomsztykUW Medicine South Lake Union, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9169-7573
Lokesh AgrawalBiorepositories and Biospecimen Research Branch (BBRB), Division of Cancer Treatment and Diagnosis, Cancer Diagnosis Program, National Cancer Institute, Bethesda, MD, USA. lokesh.agrawal@nih.gov.ORCID 0009-0002-9227-8116

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Influence of Pre-Analytical Factors in Globlastoma MGMT Promoter Methylation Biomarker AssayU01CA246503 · NCI · UNIVERSITY OF WASHINGTON · PI BOMSZTYK, KAROL, ROSTOMILY, ROBERT C · 2020 to 2024
$2.0M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA246503
6 · The paper itself

Abstract

RNA sequencing is becoming increasingly common in precision oncology, in both clinical and research settings, for transcriptome profiling, gene-fusion detection, and biomarker discovery. RNA-sequencing analysis of specimens obtained via minimally invasive procedures such as small biopsy, fine needle aspiration, and exfoliation offers a powerful method for analyzing gene expression patterns and detecting RNA-level changes associated with cancers that are either difficult to collect or require longitudinal sampling. However, pre-analytical factors (e.g., details of specimen collection, processing, and storage workflow) influence not only RNA-sequencing success rates but also the quality and accuracy of sequencing results, which may affect patient care and research progress. Minimally invasive specimens are associated with a unique set of pre-analytical challenges owing to their small size, limited RNA yield, and distinct workflows. To address the need for evidence-based guidance, this review by a working group of National Cancer Institute grantees and intramural and extramural researchers identifies pre-analytical best practices for minimally invasive specimens destined for RNA-sequencing analysis, based on the available literature and their collective experience. Strategies for assessing specimen adequacy and RNA quality, maximizing tumor content, and minimizing specimen loss and RNA degradation due to pre-analytical handling are specified for small tissue and cytology specimens. By integrating current evidence and institutional insights, this review provides a practical framework for enhancing RNA-sequencing reliability and reproducibility in both clinical and research workflows.

Indexed as

NeoplasmsSequence Analysis, RNABiomarkers, TumorBiopsyGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansRNASpecimen HandlingBiomarkers, TumorRNA

Identifiers

PMID41831145
PMCPMC13171677

What OpenQuestion holds

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LicenceCC BY
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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.