Evidence map›Paper›PMID 36841437›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2023

Loss of CDKN2A/B is a Molecular Marker of High-grade Histology and is Associated with Aggressive Behavior in Acinic Cell Carcinoma.

Snjezana Dogan, Bin Xu, Satshil Rana, Hui Chen, Ronald A Ghossein, Michael F Berger, Alan L Ho, Nora Katabi

Open access · bronzeAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  9. Germline Co-deletion ofIn vivo (Athens, Greece)
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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 2 institutions in 1 country.

Snjezana DoganDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: dogans@mskcc.org.
Bin XuDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Satshil RanaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Hui ChenDepartment of Pathology, MD Anderson Cancer Center, Houston, Texas.
Ronald A GhosseinDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael F BergerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Alan L HoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Nora KatabiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USThe University of Texas MD Anderson Cancer Center · US

Funding

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

Abstract

Acinic cell carcinoma (AciCC) is a rare salivary gland cancer with excellent prognosis in most cases. However, a subset of patients will develop distant metastasis and die of disease. Recently, a 2-tiered grading scheme in AciCC was proposed to recognize patients at risk of poor outcome. We performed a genetic analysis of AciCC to explore the underlying molecular correlates of the tumor grade and examined programmed death ligand 1 (PD-L1) expression to identify potential candidates for immunotherapy. A retrospective cohort of 55 patients included 34 high-grade (HG) and 21 low-grade AciCCs. Forty-three cases were subjected to targeted exome sequencing by Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets. PD-L1 immunohistochemistry was performed in 33 cases. Tumor mutation burden was low with a median of 1 and 2 mutations in low-grade and HG AciCCs, respectively. CDKN2A/B was the most frequently altered gene, and loss-of-function mutations were found only in HG but not in low-grade AciCCs (18/31 [58.1%] vs 0/12 [0%], P < .001). CDKN2A/B alterations were significantly associated with distant metastasis, which occurred in 16/18 (88.9%) CDKN2A/B mutants versus 11/25 (44%) wild-type cases (P = .004, Fisher exact test). Sequential profiling of multiple temporally distant samples from the same patient demonstrated intratumor heterogeneity, including the detection of CDKN2A/B deletion in the second, in HG metastasis only. ATM and PTEN mutations were detected in 6/31 (19.4%) and 5/31 (16.1%); ARID2, BIRC3, and FBXW7 mutations each in 4/31 (12.9%); and TP53, MTAP, and FAT1 each in 3/31 (9.7%) HG AciCC. PD-L1-positive labeling was more common in HG AciCC (9/17, 52.9% vs 3/16, 18.9%, P = .071). CDKN2A/B mutations in AciCC represent a molecular marker of HG histology and disease progression, providing a rationale for further studies to determine their prognostic and therapeutic significance in this salivary gland cancer. AciCC with ATM mutations may be amenable to targeted therapy. Immunotherapy can be considered to be a treatment option for a subset of patients with AciCC.

Indexed as

Carcinoma, Acinar CellSalivary Gland NeoplasmsB7-H1 AntigenBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16HumansRetrospective StudiesB7-H1 AntigenBiomarkers, TumorCDKN2A protein, humanCDKN2B protein, humanCyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16ATMCDKN2A/BHigh-grade acinic cell carcinomaPTEN

Identifiers

PMID36841437
PMCPMC10447625
OpenAlexW4321793936

What OpenQuestion 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 OpenQuestion graph.