Evidence map›Paper›PMID 42582845›Full record

ArticleTranslational lung cancer research2026

Elevated serum neuron-specific enolase as an indicator of poor chemo-immunotherapy outcomes and reduced CD8-positive lymphocyte infiltration in small-cell lung cancer: a retrospective cohort study.

Yuta Koshino, Naoki Shijubou, Toshiyuki Sumi, Terufumi Kubo, Kenta Sasaki, Rena Morita, Kenji Murata, Tomohide Tsukahara, Kotomi Terai, Shintaro Sugita and 4 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 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

14 authors.

Yuta KoshinoDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Naoki ShijubouDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Toshiyuki SumiDepartment of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Terufumi KuboDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Kenta SasakiDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Rena MoritaDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Kenji MurataDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Tomohide TsukaharaDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Kotomi TeraiDepartment of Pathology, Hakodate Goryokaku Hospital, Hakodate, Hokkaido, Japan.
Shintaro SugitaDepartment of Pathology, Hakodate Goryokaku Hospital, Hakodate, Hokkaido, Japan.
Tatsuru IkedaDepartment of Pathology, Hakodate Goryokaku Hospital, Hakodate, Hokkaido, Japan.
Yuichi YamadaDepartment of Respiratory Medicine, Hakodate Goryokaku Hospital, Hakodate, Hokkaido, Japan.
Hirofumi ChibaDepartment of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yoshihiko HirohashiDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chemo-immunotherapy is the standard first-line treatment for extensive-disease small-cell lung cancer (ED-SCLC), but biomarkers for benefit remain limited. Serum neuron-specific enolase (NSE) is a classical small-cell lung cancer (SCLC) biomarker, but its relationship with the tumor immune microenvironment remains unclear. This study aimed to evaluate the association of pretreatment serum NSE with clinical outcomes and intratumoral CD8-positive lymphocyte infiltration in patients with ED-SCLC. Methods: We retrospectively analyzed pathologically confirmed ED-SCLC patients who received first-line chemo-immunotherapy or chemotherapy. Pretreatment serum NSE was measured by electrochemiluminescence immunoassay (ECLIA). Progression-free survival (PFS) and overall survival (OS) were evaluated by NSE status. Tumor biopsy specimens were assessed for human leukocyte antigen (HLA) class I expression and CD8-positive lymphocyte infiltration. Cox models, treatment-by-NSE interaction analyses, log-transformed NSE analyses, and logistic regression for CD8 infiltration were performed. Results: A serum NSE threshold of 64.1 ng/mL stratified patients into low- and high-NSE groups. In the chemo-immunotherapy cohort, high NSE remained independently associated with shorter PFS after adjustment for performance status (PS), stage group, liver metastasis, and brain metastasis [hazard ratio (HR), 3.68; 95% confidence interval (CI): 1.39-9.76; P=0.009]. Treatment-by-NSE interaction was significant for PFS (HR, 4.52; 95% CI: 1.27-16.10; P=0.02). CD8-positive lymphocyte infiltration was more frequent in the low-NSE group. Low NSE was independently associated with CD8-positive lymphocyte infiltration after adjustment for HLA class I expression, PS, liver metastasis, and brain metastasis [odds ratio (OR), 11.68; 95% CI: 3.01-61.32; P=0.001]. Conclusions: Pretreatment serum NSE was associated with survival outcomes and CD8-positive lymphocyte infiltration in ED-SCLC. Serum NSE may serve as a clinically accessible prognostic marker and exploratory stratification biomarker for chemo-immunotherapy benefit, particularly for PFS.

Indexed as

CD8-positive cellchemo-immunotherapyExtensive-disease small-cell lung cancer (ED-SCLC)neuron-specific enolase (NSE)tumor microenvironment

Identifiers

PMID42582845
PMCPMC13458498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.