Evidence map›Paper›PMID 42704663›Full record

ReviewThe oncologist2026

Independent cancer research in low- and middle-income countries: why it matters and how to build it.

Oscar Arrieta, Eduardo Rios-Garcia, Cittim B Palomares-Palomares, Alejandro Aranda-Gutierrez, Regina Barragan-Carrillo, Carlos H Barrios, Andrés F Cardona, Luis Corrales, Narjust Florez, Juan-Manuel Hernandez-Martinez and 6 more

Abstract readReview
In one paragraph

Review in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Oscar ArrietaThoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.ORCID 0000-0002-1164-3779
Eduardo Rios-GarciaThoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.ORCID 0000-0002-2422-1671
Cittim B Palomares-PalomaresThoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.ORCID 0000-0001-5982-2795
Alejandro Aranda-GutierrezDepartamento de Hemato-Oncología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, 14080, Mexico.
Regina Barragan-CarrilloMedical Oncology Department, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.ORCID 0000-0002-3114-0642
Carlos H BarriosLatin American Cooperative Oncology Group (LACOG), Centro de Pesquisa em Oncologia, Hospital São Lucas PUCRS, Porto Alegre, 90610, Brazil.
Andrés F CardonaThoracic Oncology Unit and Direction of Research and Education, Luis Carlos Sarmiento Angulo Cancer Treatment and Research Center (CTIC), Bogotá, 110131, Colombia.
Luis CorralesDepartment of Medical Oncology, Centro de Investigación y Manejo del Cáncer (CIMCA), San José, 10103, Costa Rica.
Narjust FlorezLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, United States.
Juan-Manuel Hernandez-MartinezThoracic Oncology Unit, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.
Claudio MartinThoracic Oncology Unit, Alexander Fleming InstituteBuenos Aires, C1426, Argentina.ORCID 0000-0003-4135-7332
Jackson OremUganda Cancer Institute, Kampala, 3935, Uganda.ORCID 0000-0002-5366-9010
Luis Eduardo PinoClinical Oncology Department, Carlos Ardila Lülle Cancer Institute-ICCAL, Fundación Santa Fe de Bogotá, Bogotá, 110111, Colombia.
Ricardo PlancartePain Clinic, Instituto Nacional de Cancerología (INCan), Mexico City, 14080, Mexico.
Gustavo WerutskyLatin American Cooperative Oncology Group (LACOG), Porto Alegre-RS, 90619, Brazil.ORCID 0000-0001-6271-105X
C S PrameshTata Memorial Centre, National Cancer Grid (India), Homi Bhabha National Institute, Mumbai, 400012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By 2030, an estimated 75% of cancer deaths will occur in low- and middle-income countries (LMICs). Weak surveillance systems and limited research infrastructure often hide the true magnitude of this burden. Thus, independent, locally led research is essential for generating high-quality data, addressing regional disease patterns, and informing context-specific strategies for cancer control. Low national investment, heavy reliance on industry-sponsored trials, and a scarcity of trained clinician scientists hinder independent cancer research in LMICs. In this narrative review, we synthesize the published literature and present a descriptive analysis of oncology trials registered on ClinicalTrials.gov (accessed July 2025), categorized by country, funding source, and tumor site and normalized to disease burden, drawing on illustrative examples from Africa, Asia, and Latin America. We highlight the transformative impact of context-sensitive research initiatives, explore disparities in sponsorship by country and tumor type, and outline ways to strengthen the research infrastructure. These include the establishment of population-based cancer registries, regional funding mechanisms, streamlined regulatory frameworks, and workforce development through formal research training and protected time. Finally, we propose strategies to enhance international collaboration and amplify LMIC participation in setting global cancer research priorities.

Indexed as

Biomedical ResearchNeoplasmsDeveloping CountriesHumansResource-Limited Settingscancer researchhealth equityinvestigator-initiated trialslow- and middle-income countriespopulation-based cancer registriespragmatic clinical trials

Identifiers

PMID42704663
PMCPMC13600435

What OpenQuestion holds

Textmetadata
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.