Evidence map›Paper›PMID 33917869›Full record

ArticleCancers2021

SIO: A Spatioimageomics Pipeline to Identify Prognostic Biomarkers Associated with the Ovarian Tumor Microenvironment.

Ying Zhu, Sammy Ferri-Borgogno, Jianting Sheng, Tsz-Lun Yeung, Jared K Burks, Paola Cappello, Amir A Jazaeri, Jae-Hoon Kim, Gwan Hee Han, Michael J Birrer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Prediction of neoadjuvant chemotherapy efficacy in patients with HER2-low breast cancer based on ultrasound radiomics.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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  9. Novel insights from spatial transcriptome analysis in solid tumors.International journal of biological sciences · 2023
    Review
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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

12 authors at 5 institutions in 3 countries.

Ying ZhuCenter for Modeling Cancer Development, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA.
Sammy Ferri-BorgognoDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8270-8963
Jianting ShengCenter for Modeling Cancer Development, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA.
Tsz-Lun YeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jared K BurksDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-6173-9074
Paola CappelloDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-5321-7794
Amir A JazaeriDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jae-Hoon KimDepartment of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0001-6599-7065
Gwan Hee HanDepartment of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0001-5263-4855
Michael J BirrerWinthrop P. Rockefeller Cancer Institute, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Samuel C MokDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-7013-1805
Stephen T C WongCenter for Modeling Cancer Development, Houston Methodist Cancer Center, Houston Methodist Hospital, Houston, TX 77030, USA.ORCID 0000-0001-9188-6502
The University of Texas MD Anderson Cancer Center · USHouston Methodist · USYonsei University · KRUniversity of Turin · ITWinthrop Rockefeller Foundation · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Single Cell Spatial Analysis in TissueR50CA243707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BURKS, JARED KYLE · 2020 to 2024
$1.3M
Computational Cancer Biology Training Program Fellowship CPRIT Grant No. RP170593NCI NIH HHS R50 CA243707Ovarian Cancer Research Program, US Department of Defense W81XWH-16-1-0038Ovarian Cancer Research Program, US Department of Defense W81XWH-17-1-0126the MD Anderson Cancer Center Support Grant, NIH P30CA016672
6 · The paper itself

Abstract

Stromal and immune cells in the tumor microenvironment (TME) have been shown to directly affect high-grade serous ovarian cancer (HGSC) malignant phenotypes, however, how these cells interact to influence HGSC patients' survival remains largely unknown. To investigate the cell-cell communication in such a complex TME, we developed a SpatioImageOmics (SIO) pipeline that combines imaging mass cytometry (IMC), location-specific transcriptomics, and deep learning to identify the distribution of various stromal, tumor and immune cells as well as their spatial relationship in TME. The SIO pipeline automatically and accurately segments cells and extracts salient cellular features to identify biomarkers, and multiple nearest-neighbor interactions among tumor, immune, and stromal cells that coordinate to influence overall survival rates in HGSC patients. In addition, SIO integrates IMC data with microdissected tumor and stromal transcriptomes from the same patients to identify novel signaling networks, which would lead to the discovery of novel survival rate-modulating mechanisms in HGSC patients.

Indexed as

cancer microenvironmentdeep learninghigh-grade serous ovarian cancerimaging mass cytometrysurvival predictiontranscriptomic profilingtumor biomarkers

Identifiers

PMID33917869
PMCPMC8068305
OpenAlexW3145895630

What OpenQuestion holds

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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.