Evidence map›Paper›PMID 40878329›Full record

ArticleThe Indian journal of medical research2025

Comprehensive biobanking to enhance precision medicine in head & neck cancer through systematic sample collection & data integration.

Arunima Bhaduri, Komal Mehta, Deepak Sharma, Bhavya Sharma, Mudit Agarwal, Ajay Kumar Dewan, Juhi Tayal

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2025. 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

7 authors.

Arunima BhaduriBiorepository, Department of Research, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Komal MehtaBiorepository, Department of Research, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Deepak SharmaBiorepository, Department of Research, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Bhavya SharmaBiorepository, Department of Research, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Mudit AgarwalDepartment of Head & Neck Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Ajay Kumar DewanDepartment of Head & Neck Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.
Juhi TayalBiorepository, Department of Research, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives Head and neck carcinomas (HNCs), including oral cancers (OCs), represent a significant global health issue, especially in India, where they contribute to one-third of the global OC burden. Despite advances in treatment, survival rates remain poor, often due to limited treatment options and underlying research gaps. The Rajiv Gandhi Cancer Institute & Research Centre (RGCIRC) biorepository initiative undertook to address this gap by systematically collecting and storing biological specimens and their derivatives for HNC, fostering translational research and collaborations. The objective of this initiative was to provide critical resources for researchers and aims to bridge the gap between laboratory findings and clinical applications, ultimately contributing to more effective cancer treatment strategies and personalised medicine approaches in oncology. Methods From 2018 to July 2024, the biobank enrolled HNC patient donors (aged 18+yr) undergoing surgery as a primary mode of treatment at RGCIRC. Following Indian Council of Medical Research (ICMR) and World Health Organization (WHO) guidelines, the biobank collected diverse biosamples, including fresh frozen tissues, plasma, PBMC, FFPE, and more. A robust Laboratory Information Management System (LIMS) ensured systematic sample tracking and efficient disbursal. Complex derivatives were processed to minimise pre analytical variability, supporting high-quality research applications. Results The HNC biobank successfully enrolled 1, 300 donors during the study period and stored 13,000 biosample aliquots, with buccal mucosa identified as the most prevalent cancer site. A significant proportion of the patients presented with advanced-stage cancers (III and IV), accounting for 62.67 per cent of the biosamples collected, highlighting the critical need for targeted research in this area. Notably, the samples exhibited considerable cellular heterogeneity across different anatomical sites. Additionally, lower cellular viability was observed in samples from gingivobuccalsulcus (GBS) cancers compared to those from other sites. The biobank's 34 per cent sample disbursal rate underscores its role in facilitating diverse research projects, there by contributing valuable insights into HNC biology and treatment strategies. Interpretation & conclusions The RGCIRC biobank is pivotal for advancing HNC research, enabling genomic and cellular diversity studies, biomarker discovery, and personalised treatments. It has the potential to lay the foundation for multi-omics research and the future of translational efforts in HNC.

Indexed as

Biological Specimen BanksHead and Neck NeoplasmsPrecision MedicineAdultFemaleHumansIndiaMaleMiddle AgedSpecimen HandlingBiorepositorycellular heterogeneityhead & neck cancerlaboratory information management system (LIMS)personalized treatmenttranslational research

Identifiers

PMID40878329
PMCPMC12550390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.