Evidence map›Paper›PMID 32913135›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Multiplex Immunofluorescence in Formalin-Fixed Paraffin-Embedded Tumor Tissue to Identify Single-Cell-Level PI3K Pathway Activation.

Konrad H Stopsack, Ying Huang, Svitlana Tyekucheva, Travis A Gerke, Clyde Bango, Habiba Elfandy, Michaela Bowden, Kathryn L Penney, Thomas M Roberts, Giovanni Parmigiani and 3 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
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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

13 authors at 5 institutions in 1 country.

Konrad H StopsackDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0722-1311
Ying HuangDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Svitlana TyekuchevaDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-3119-6507
Travis A GerkeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Clyde BangoDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Habiba ElfandyDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Michaela BowdenDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Kathryn L PenneyDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Thomas M RobertsDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Giovanni ParmigianiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8783-5961
Philip W KantoffDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Massimo LodaDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts. mloda@med.cornell.edu.
Dana-Farber Cancer Institute · USHarvard University · USBrigham and Women's Hospital · USMemorial Sloan Kettering Cancer Center · USBroad Institute · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI JENNIFER W MACK · 1985 to 2026
$330.6M
Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI KANTOFF, PHILIP W · 2002 to 2017
$36.2M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
Weill Cornell Medicine (WCM) SPORE in Prostate CancerP50CA211024 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LODA, MASSIMO · 2017 to 2021
$10.9M
Molecular Link Between Metabolic Syndrome and Prostate CancerR01CA131945 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO · 2008 to 2018
$4.0M
Comprehensive characterization of prostate stromal gene expression and association with lethal prostate cancerR37CA227190 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BIRMANN, BRENDA M, TYEKUCHEVA, SVITLANA · 2018 to 2024
$3.6M
Targeting the p110beta isoform of PI3 kinase in prostate cancerR01CA187918 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO, ROBERTS, THOMAS M · 2015 to 2019
$2.8M
NCI NIH HHS P30 CA006516NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA090381NCI NIH HHS P50 CA211024NCI NIH HHS R01 CA131945NCI NIH HHS R01 CA187918NCI NIH HHS R37 CA227190NCI NIH HHS U01 CA113913NCI NIH HHS U01 CA167552
6 · The paper itself

Abstract

purposeIdentifying cancers with high PI3K pathway activity is critical for treatment selection and eligibility into clinical trials of PI3K inhibitors. Assessments of tumor signaling pathway activity need to consider intratumoral heterogeneity and multiple regulatory nodes. EXPERIMENTAL

designWe established a novel, mechanistically informed approach to assessing tumor signaling pathways by quantifying single-cell-level multiplex immunofluorescence using custom algorithms. In a proof-of-concept study, we stained archival formalin-fixed, paraffin-embedded (FFPE) tissue from patients with primary prostate cancer in two prospective cohort studies, the Health Professionals Follow-up Study and the Physicians' Health Study. PTEN, stathmin, and phospho-S6 were quantified on 14 tissue microarrays as indicators of PI3K activation to derive cell-level PI3K scores.

resultsIn 1,001 men, 988,254 tumor cells were assessed (median, 743 per tumor; interquartile range, 290-1,377). PI3K scores were higher in tumors with PTEN loss scored by a pathologist, higher Gleason grade, and a new, validated bulk PI3K transcriptional signature. Unsupervised machine-learning approaches resulted in similar clustering. Within-tumor heterogeneity in cell-level PI3K scores was high. During long-term follow-up (median, 15.3 years), rates of progression to metastases and death from prostate cancer were twice as high in the highest quartile of PI3K activation compared with the lowest quartile (hazard ratio, 2.04; 95% confidence interval, 1.13-3.68).

conclusionsOur novel pathway-focused approach to quantifying single-cell-level immunofluorescence in FFPE tissue identifies prostate tumors with PI3K pathway activation that are more aggressive and may respond to pathway inhibitors.

Indexed as

AdultAgedAlgorithmsBiomarkers, TumorFluorescent Antibody TechniqueGene Expression Regulation, NeoplasticHumansMachine LearningMaleMiddle AgedNeoplasm GradingParaffin EmbeddingPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProstatic NeoplasmsPTEN PhosphohydrolaseBiomarkers, TumorPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsPTEN PhosphohydrolaseStathminSTMN1 protein, human

Identifiers

PMID32913135
PMCPMC7669556
OpenAlexW3086253402

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.