Evidence map›Paper›PMID 40083881›Full record

ArticleAdvanced nanobiomed research2025

Detection of Estrogen Receptor Status in Breast Cancer Cytology Samples by an Optical Nanosensor.

Pooja V Gaikwad, Nazifa Rahman, Pratyusha Ghosh, Dianna L Ng, Ryan M Williams

Abstract read
In one paragraph

Article in Advanced nanobiomed research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. High-throughput SWCNT NIR-II screening enables cell andbioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

Pooja V GaikwadThe City College of New York, Department of Biomedical Engineering, New York, NY 10031.
Nazifa RahmanThe City College of New York, Department of Biomedical Engineering, New York, NY 10031.
Pratyusha GhoshThe City College of New York, Department of Biomedical Engineering, New York, NY 10031.
Dianna L NgMemorial Sloan Kettering Cancer Center, Department of Pathology and Laboratory Medicine, New York, NY 10065.
Ryan M WilliamsThe City College of New York, Department of Biomedical Engineering, New York, NY 10031.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Tim Alan Ahles, ADRIANA ESPINOSA · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Daniel Alan Heller · 2008 to 2026
$28.1M
Research Center in Minority Institutions (RCMI) at City CollegeU54MD017979 · NIMHD · CITY COLLEGE OF NEW YORK · PI M. Felice Marina GHILARDI · 2024 to 2026
$15.9M
A multi-faceted intervention to promote breast cancer hormone receptor testing in TanzaniaK08CA263299 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Dianna L. Ng · 2021 to 2026
$1.3M
NCI NIH HHS K08 CA263299NCI NIH HHS P30 CA008748NCI NIH HHS U54 CA132378NCI NIH HHS U54 CA137788NIMHD NIH HHS U54 MD017979
6 · The paper itself

Abstract

Breast cancer is a substantial source of morbidity and mortality worldwide. Estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), are the primary biomarkers which inform breast cancer treatment. Although endocrine therapy for ER+ patients is widely available, there is a need for increased access to low cost, rapid and accurate ER testing methods. In this work, we designed a near-infrared optical nanosensor using single-walled carbon nanotubes (SWCNT) as the transducer and an anti-ERα antibody as the recognition element. We evaluated the sensor in vitro prior to testing with 26 breast cancer samples which were collected by scraping the cut surface of fresh, surgically resected tumors. 20 samples were ER+, and 6 ER-, representing 13 unique patients. We found the nanosensor can differentiate ER- from ER+ patient biopsies through a shift in its center wavelength upon sample addition. Receiver operating characteristic area under the curve analyses determined that the strongest classifier with an AUC of 0.94 was the (7,5) SWCNT after direct incubation and measurement, and without further processing. We anticipate that further testing and development of this nanosensor may push its utility toward field-deployable, rapid ER subtyping with potential for additional molecular marker profiling.

Identifiers

PMID40083881
PMCPMC11902909

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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.