Evidence map›Paper›PMID 39747849›Full record

ArticleNature communications2025

Maximizing the clinical utility and performance of cytology samples for comprehensive genetic profiling.

David Kim, Chad M Vanderbilt, Soo-Ryum Yang, Subhiksha Nandakumar, Khedoudja Nafa, Rusmir Feratovic, Natasha Rekhtman, Ivelise Rijo, Jacklyn Casanova, Anita Yun and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

David KimDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. kimd8@mskcc.org.ORCID 0000-0002-7593-6052
Chad M VanderbiltDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-8114-0237
Soo-Ryum YangDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Subhiksha NandakumarHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Khedoudja NafaDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Rusmir FeratovicDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Natasha RekhtmanDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ivelise RijoDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jacklyn CasanovaDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-3586-7048
Anita YunDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
A Rose BrannonDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-4610-0149
Michael F BergerDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-3882-5000
Marc LadanyiDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-9055-7213
Oscar LinDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Maria E ArcilaDepartment of Pathology & Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0001-5824-6554

Funding

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

Abstract

Comprehensive molecular profiling by next-generation sequencing has revolutionized tumor classification and biomarker evaluation. However, routine implementation is challenged by the scant nature of diagnostic material obtained through minimally invasive procedures. Here, we describe our long-term experience in profiling cytology samples with an in-depth assessment of the performance, quality metrics, biomarker identification capabilities, and potential pitfalls. We highlight the impact of several optimization strategies to maximize performance with 4,871 prospectively sequenced clinical cytology samples tested by MSK-IMPACT

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsBiomarkers, TumorCell-Free Nucleic AcidsCytodiagnosisDNA, NeoplasmFemaleHumansBiomarkers, TumorCell-Free Nucleic AcidsDNA, Neoplasm

Identifiers

PMID39747849
PMCPMC11696557

What OpenQuestion holds

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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.