Evidence map›Paper›PMID 42633083›Full record

ArticleCureus2026

Next-Generation Sequencing (NGS) Utility in Advanced Solid Tumors in Low- and Middle-Income Country (LMIC) Setting.

Prakriti Singh, Abhinav Manish, Amit Badola, Tanvi Khanna

Abstract read
In one paragraph

Article in Cureus, 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

4 authors.

Prakriti SinghMedical Oncology, Asian Institute of Medical Sciences, Faridabad, IND.
Abhinav ManishBiochemistry, Gautam Buddha Chikitsa Mahavidyalaya, Dehradun, IND.
Amit BadolaMedical Oncology, Max Super Speciality Hospital, Dehradun, IND.
Tanvi KhannaPaediatrics, Shri Guru Ram Rai (SGRR) Institute of Medical and Health Sciences, Dehradun, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Advancements in DNA sequencing have revolutionized our understanding of cancer biology, enabling comprehensive analysis of genetic alterations driving tumorigenesis. Next-generation sequencing (NGS) is increasingly integrated into oncology practice to identify actionable mutations and personalize therapy. However, its clinical utility in low- and middle-income countries (LMICs), where access to sequencing technologies and targeted treatments remains limited, is not well established. Methods This was a retrospective, single-center cohort study involving adult patients with advanced metastatic solid tumors who underwent NGS testing using either tumor tissue or liquid biopsy (Illumina platform, 560-gene panel, 1000X coverage). The primary endpoint was to evaluate the proportion of patients who received NGS-guided targeted therapy. The secondary endpoint was progression-free survival (PFS) in patients treated based on NGS findings. Data analysis was performed using Microsoft Excel 2016 (Microsoft Corp., Redmond, WA, USA). Results Over an 18-month period (January 2021 to June 2022), 93 patients were included. Genomic alterations were detected in 45% (n=42) of patients. Among these, 33% (n=31) had a potentially actionable mutation with an available targeted therapy or clinical trial option. Despite this, only 19% (n=18) received NGS-directed treatment. Of these, 44% (n=8) achieved a PFS of six months or more. Conclusion NGS can identify clinically relevant mutations in a significant proportion of advanced cancer patients in LMIC settings. However, real-world application is hindered by limited access to targeted therapies and clinical trials. Strategies to improve access and infrastructure are essential to realize the full potential of precision oncology in these regions.

Indexed as

genomic profilinglmicnext-generation sequencingprecision oncologyreal-world dataresource-limited settingsolid tumors

Identifiers

PMID42633083
PMCPMC13498828

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