Evidence map›Paper›PMID 42656806›Full record

ArticleInternational journal of genomics2026

Single-Cell and Bulk Transcriptomic Integration Reveals an Adverse SPP1 Inflammatory TAM State and INHBA as a Candidate Biomarker in Non-Small Cell Lung Cancer Immunotherapy.

Sheng Zhang, Guojun Zhang, Wenxuan Wang, Hong Luo, Huaping Chen

Abstract read
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Article in International journal of genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sheng ZhangDepartment of Radiology, Beijing Anzhen Nanchong Hospital of Medical University & Nanchong Central Hospital, Nanchong, China.
Guojun ZhangDepartment of Oncology, Beijing Anzhen Nanchong Hospital of Medical University & Nanchong Central Hospital, Nanchong, China.
Wenxuan WangDepartment of Radiology, Beijing Anzhen Nanchong Hospital of Medical University & Nanchong Central Hospital, Nanchong, China.
Hong LuoDepartment of Radiology, Beijing Anzhen Nanchong Hospital of Medical University & Nanchong Central Hospital, Nanchong, China.
Huaping ChenDepartment of Radiology, Beijing Anzhen Nanchong Hospital of Medical University & Nanchong Central Hospital, Nanchong, China.ORCID https://orcid.org/0009-0009-9769-2595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biomarkers that capture the microenvironmental basis of response to neoadjuvant immunotherapy in non-small cell lung cancer (NSCLC) remain limited. We integrated single-cell and bulk transcriptomic data to identify response-associated immune programs with patient-level relevance. Methods: Single-cell RNA-seq and clinical annotations from GSE207422 were used to construct an NSCLC tumor microenvironment atlas and refine myeloid and T cell states. UCell scoring, sample-level summaries, pseudobulk differential analysis, Monocle2 trajectory inference, and targeted macrophage-T cell interaction analysis were applied. A posttreatment SPP1 inflammatory TAM-derived NR-TAM signature was projected to pretreatment bulk RNA-seq from the same cohort. INHBA was evaluated in pretreatment bulk data, TCGA-LUAD/TCGA-LUSC, and lung cancer cell line assays. Results: SPP1 inflammatory TAM was enriched in nonmajor pathologic response (NMPR) samples and co-occurred with exhausted CD8 T cell abundance, malignant cell hypoxia, and EMT programs. The NR-TAM signature was partially recapitulated in pretreatment bulk RNA-seq, with higher scores in NMPR but substantial group overlap. Exploratory ROC analysis showed modest discrimination for NR-TAM score (AUC = 0.60), INHBA (AUC = 0.64), and the combined model (AUC = 0.64; LOOCV AUC = 0.37). INHBA was higher in NMPR cases, correlated with residual tumor burden and selected TAM-related genes, showed less favorable survival trends particularly in LUSC, and its knockdown reduced proliferation and migration in lung cancer cells. Conclusions: An SPP1 inflammatory TAM program is associated with unfavorable pathologic response in NSCLC neoadjuvant immunotherapy. INHBA is a prioritized exploratory candidate within this program. Because the evidence is associative and predictive performance is modest, these markers require prospective validation before clinical use.

Indexed as

biomarker discoverybulk RNA-seqINHBAneoadjuvant immunotherapynon-small cell lung cancersingle-cell RNA sequencingSPP1 inflammatory TAMtumor-associated macrophages

Identifiers

PMID42656806
PMCPMC13508024

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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.