Evidence map›Paper›PMID 35031546›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Metabolic Alterations and WNT Signaling Impact Immune Response in HGSOC.

Rebecca C Arend, Carly B Scalise, Emily R Gordon, Allison M Davis, McKenzie E Foxall, Bobbi E Johnston, David K Crossman, Sara J Cooper

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. 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
2.1field-weighted citation impact, top 12% 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.

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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.

Rebecca C Arend *Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0003-2108-3426
Carly B Scalise *Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-7612-7791
Emily R GordonHudsonAlpha Institute for Biotechnology, Huntsville, Alabama.ORCID 0000-0002-0838-7110
Allison M DavisDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
McKenzie E FoxallDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
Bobbi E JohnstonHudsonAlpha Institute for Biotechnology, Huntsville, Alabama.
David K CrossmanDepartment of Genetics, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-0981-169X
Sara J CooperHudsonAlpha Institute for Biotechnology, Huntsville, Alabama.ORCID 0000-0002-9627-0309
University of Alabama at Birmingham · USHudsonAlpha Institute for Biotechnology · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
UAB Cancer Prevention and Control Training Program (T32)T32CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Ritu Aneja, Ellen Mary Lavoie Smith · 2018 to 2026
$3.2M
NCI NIH HHS P30 CA013148NCI NIH HHS T32 CA047888
6 · The paper itself

Abstract

purposeOur study used transcriptomic and metabolomic strategies to determine the molecular profiles of HGSOC patient samples derived from primary tumor and ascites cells. These data identified clinically relevant heterogeneity among and within patients and highlighted global and patient-specific cellular responses to neoadjuvant chemotherapy (NACT). EXPERIMENTAL

designTissue from 61 treatment-naïve patients with HGSOC were collected. In addition, 11 benign, 32 ascites, and 18 post-NACT samples (matched to the individual patient's pre-NACT sample) were collected. RNA sequencing (RNA-seq) was performed on all samples collected. Two-dimensional spatial proteomic data was collected for two pairs of pre- and post-NACT. Untargeted metabolomics data using GCxGC-MS was generated for 30 treatment-naive tissues. Consensus clustering, analysis of differential expression, pathway enrichment, and survival analyses were performed.

resultsTreatment-naïve HGSOC tissues had distinct transcriptomic and metabolomic profiles. The mesenchymal subtype harbored a metabolomic profile distinct from the other subtypes. Compared with primary tumor tissue, ascites showed significant changes in immune response and signaling pathways. NACT caused significant alterations in gene expression and WNT activity, and this corresponded to altered immune response. Overall, WNT signaling levels were inversely correlated with immune cell infiltration in HGSOC tissues and WNT signaling post-NACT was inversely correlated with progression-free survival.

conclusionsOur study concluded that HGSOC is a heterogenous disease at baseline and growing molecular differences can be observed between primary tumor and ascites cells or within tumors in response to treatment. Our data reveal potential exploratory biomarkers relevant for treatment selection and predicting patient outcomes that warrant further research.

Indexed as

Ovarian NeoplasmsWnt Signaling PathwayHumansImmunityNeoadjuvant TherapyProteomics

Identifiers

PMID35031546
PMCPMC9066364
OpenAlexW4205859302

What OpenQuestion holds

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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.