Evidence map›Paper›PMID 42032036›Full record

ArticleScientific reports2026

Hypoxic CA9 variant as a potential prognostic marker in gastric and breast cancers.

Vignesh Krishnasamy, Lalengkimi Ralte, Samuel Lalhruaizela, Ruby Zothankimi Ralte, Harvey Vanlalpeka, Benjamin Lalrinpuia, Nachimuthu Senthil Kumar

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Vignesh KrishnasamyDepartment of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India.
Lalengkimi RalteDepartment of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India.
Samuel LalhruaizelaDepartment of Surgery, Zoram Medical College, Falkawn, Mizoram, 796005, India.
Ruby Zothankimi RalteDepartment of Nursing, Regional Institute of Paramedical and Nursing Sciences, Aizawl, Mizoram, 796017, India.
Harvey VanlalpekaDepartment of Obstetrics and Gynaecology, Zoram Medical College, Falkawn, Mizoram, 796005, India.
Benjamin LalrinpuiaDepartment of Physiology, Zoram Medical College, Falkawn, Mizoram, 796005, India.
Nachimuthu Senthil KumarDepartment of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India. nskmzu@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) and breast cancer (BC) are among the most common malignancies worldwide, with significant mortality rates despite advances in diagnosis and treatment. Genetic variants in the hypoxia-inducible factor (HIF) pathway, which plays an important role in tumor microenvironment adaptation, have emerged as potential contributors to cancer susceptibility and prognosis. Our study investigates the role of HIF pathway genetic variants in GC and BC among the Mizo population, an indigenous group living at high altitudes in north-eastern India. In addition, the EGLN1 c.12C > G (rs186996510) "Tibetan allele" was evaluated within this population-specific genetic framework. Whole-exome sequencing data from 74 cancer patients (59 GC, 15 BC) and 27 healthy controls were analyzed. Variants underwent quality filtering, in silico functional annotation, and association analyses including odds ratio (OR) and hazard ratio (HR) estimation. The EGLN1 Tibetan allele was prevalent in 29.62% of healthy Mizo controls and demonstrated a reduced association trend with GC (OR = 0.671) and BC (OR = 0.364). Common variants in CA9 (rs2071676), CDC20B (rs444527) and CDH11 (rs35195) showed associations for both cancers, with CA9 rs2071676 showing an association with poorer survival (HR = 4.097, p = 0.0139). Rare variants such as CA9 (rs77984049) and ABCB1 (rs2032582) also showed high ORs, particularly in GC. Overall, these findings provide exploratory, population-specific insight into HIF pathway genetic variation within a high-altitude indigenous population and contribute to the understanding of population-based cancer associations. Further investigation in larger cohorts with comprehensive clinical modeling and functional validation is warranted.

Indexed as

Biomarkers, TumorBreast NeoplasmsHypoxia-Inducible Factor-Proline DioxygenasesStomach NeoplasmsAgedAllelesCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansIndiaMiddle AgedPolymorphism, Single NucleotidePrognosisBiomarkers, TumorEGLN1 protein, humanHypoxia-Inducible Factor-Proline DioxygenasesBiomarkerBreast cancerGastric cancerHypoxiaTibetan allele

Identifiers

PMID42032036
PMCPMC13275901

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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.