Evidence map›Paper›PMID 36542825›Full record

ArticleJCO global oncology2022

NOHA: A Promising Biomarker for Determining Estrogen Receptor Status Among Patients With Breast Cancer in Resource-Constrained Settings.

Furaha Serventi, Augustine Musyoka, Jamie Saunders, Alex Mremi, Blandina Theophil Mmbaga, Elizabeth Patrick, Theresia Mwakyembe, Michael Jones, F Lee Lucas, Susan Miesfeldt and 1 more

Open access · goldAbstract read
In one paragraph

Article in JCO global oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. NCancer reports (Hoboken, N.J.) · 2026
    Article
  2. Article
  3. Dried Spot Paradigm: Problems and Prospects in Proteomics.International journal of molecular sciences · 2025
    Review
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

11 authors at 4 institutions in 2 countries.

Furaha ServentiKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0000-0002-0295-2502
Augustine MusyokaKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Jamie SaundersMaine Medical Center Research Institute, Scarborough, ME.
Alex MremiKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.ORCID 0000-0001-7226-0168
Blandina Theophil MmbagaKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Elizabeth PatrickKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Theresia MwakyembeKilimanjaro Christian Medical Center, Kilimanjaro Clinical Research Institute, and Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Michael JonesPathology Services, Spectrum Healthcare Partners, South Portland, ME.
F Lee LucasMaine Medical Center Research Institute, Scarborough, ME.
Susan MiesfeldtMaine Medical Center, Portland, ME.ORCID 0000-0001-8227-3165
Srinidi MohanUniversity of New England, Westbrook College of Health Professions, School of Pharmacy, Department of Pharmaceutical Sciences, Portland, ME.ORCID 0000-0003-2895-8213
Kilimanjaro Christian Medical Centre · TZMaine Medical Center · USNew England College · USSpectrum Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChallenges to breast cancer control in low-and middle-income countries exist because of constrained access to care, including pathology services. Immunohistochemistry (IHC)-based estrogen receptor (ER) analysis is limited-nonexistent because of few and inadequately staffed and equipped pathology laboratories. We have identified N MATERIALS AND

methodsFollowing informed consent, 70 newly diagnosed, known or suspected patients with breast cancer were enrolled at Kilimanjaro Christian Medical Center; basic, deidentified clinical and sociodemographic data were collected. For each, a needle prick amount of blood was collected on a Noviplex plasma card and stored at -80°C. Plasma cards and unstained tumor pathology slides were shipped regularly to US laboratories for NOHA, histologic and IHC analysis. NOHA and IHC assay operators were blinded to each other's result and patient clinical status. Paired NOHA and IHC results were compared.

resultsSlides from 43 participants were available for pathological analysis in the United States. Of those with confirmed malignancy (n = 39), 44%, 51%, 5% were ER-positive, ER-negative, and ER inconclusive, respectively. NOHA levels were available among 33 of 43 of those with pathological data and showed distinct threshold levels correlating 100% to tumor ER IHC and disease categorization where a level below 4 nM, from 4 to 8 nM, and above 8 nM signified ER-negative, ER-positive, and no cancer, respectively.

conclusionThe results are consistent with findings from US patients and suggest NOHA's clinical utility as an accessible IHC replacement in determining ER status among low-and middle-income country patients with breast cancer, promising to extend access to cost-efficient, available hormonal agents and improve outcomes.

Indexed as

Breast NeoplasmsBiomarkers, TumorFemaleHumansImmunohistochemistryReceptors, EstrogenTanzaniaBiomarkers, TumorReceptors, Estrogen

Identifiers

PMID36542825
PMCPMC10166386
OpenAlexW4312112854

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.