Evidence map›Paper›PMID 41924237›Full record

ArticleBio-protocol2026

A Simple and Cost-Effective Method for Generating Spheroids From Triple-Negative Breast Cancer Cell Line (MDA-MB-231).

Ramón Cervantes-Rivera, Luisa Nirvana González-Fernández, Atalia Ziret Romero Rosas, Sandra Jetsamari Figueroa Ortíz, Alejandra Ochoa-Zarzosa, Joel E López-Meza

Abstract read
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Ramón Cervantes-RiveraCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.
Luisa Nirvana González-FernándezCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.
Atalia Ziret Romero RosasCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.
Sandra Jetsamari Figueroa OrtízCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.
Alejandra Ochoa-ZarzosaCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.
Joel E López-MezaCentro Multidisciplinario de Estudios en Biotecnología (CMEB), Facultad de Medicina Veterinaria y Zootecnia, Universidad Michoacana de San Nicolás de Hidalgo. C.P. 58893, Morelia, Michoacán, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most frequently diagnosed malignancy in women and a leading cause of cancer-related mortality worldwide. Current clinical management relies on molecular classification-based on estrogen receptor (ER), progesterone receptor (PR), HER2, and Ki67 expression-to guide prognosis and therapy. Triple-negative breast cancer (TNBC), which lacks ER, PR, and HER2 expression, represents 15%-20% of cases and is characterized by aggressive behavior, early recurrence, and a paucity of targeted treatment options. These challenges underscore the urgent need for improved preclinical models that better recapitulate tumor biology to accelerate therapeutic discovery. While conventional monolayer (2D) cultures have contributed significantly to cancer research, they fail to mimic critical features of the three-dimensional (3D) tumor microenvironment (TME), thereby limiting clinical translation. To address this gap, 3D spheroid models have emerged as a powerful intermediary, more accurately replicating in vivo conditions such as cell-cell and cell-matrix interactions, nutrient and oxygen gradients, and the development of hypoxic cores. These features make spheroids a physiologically relevant platform for studying complex processes like metastasis, drug resistance, and treatment response. Here, we present a robust, simple, and cost-effective protocol for generating uniform 3D spheroids. Our method enables consistent monitoring of spheroid formation and growth over time, with quantitative, image-based size analysis to ensure reproducibility and scalability. Designed for flexibility, the protocol is broadly applicable across diverse cell types, effectively bridging the gap between traditional 2D cultures and complex in vivo studies. By providing an accessible and reliable model of the 3D TME, this protocol opens new avenues for high-throughput drug screening, mechanistic studies of tumor progression, and the advancement of personalized medicine strategies in breast cancer and beyond. Key features • Employs a cost-effective, lab-made agarose coating to create non-adherent surfaces in standard 96-well plates. • Optimized for reproducible spheroid formation from the aggressive MDA-MB-231 triple-negative breast cancer cell line. • Requires a brief orbital shaking step to promote homogeneous cell aggregation and formation of a single central spheroid per well. • Generates measurable spheroids within 96 h using only basic cell culture equipment and an orbital shaker. • Provides a clear workflow from spheroid formation to quantitative size analysis, using freely available (ImageJ) and widely used (GraphPad Prism) software.

Indexed as

3D cell cultureDrug screeningSpheroidsTriple-negative breast cancerTumor microenvironment

Identifiers

PMID41924237
PMCPMC13037779

What OpenQuestion holds

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LicenceCC BY-NC
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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.