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Insulinoma-Associated Protein 1 (INSM1) for the Diagnosis of Small-Cell Lung Cancer and Large Cell Neuroendocrine Carcinoma: A Meta-Analysis of Diagnostic Test Accuracy

Insulinoma-Associated Protein 1 (INSM1) for the Diagnosis of Small-Cell Lung Cancer and Large Cell Neuroendocrine Carcinoma: A Meta-Analysis of Diagnostic Test Accuracy - Insulinoma-Associated Protein 1 (INSM1) for the Diagnosis of Small-Cell Lung Cancer and Large Cell Neuroendocrine Carcinoma: A Meta-Analysis of Diagnostic Test Accuracy

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000056564
Enrollment
Unknown
Registered
2024-12-25
Start date
2024-12-25
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

lung cancer

Interventions

None listed

Sponsors

Yokohama City University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Eligible studies included full-text articles, brief reports, and conference abstracts published in English that reported sensitivity and specificity data for the immunohistochemical marker INSM1 in diagnosing SCLC and LCNEC. Articles providing only sensitivity or specificity data were excluded, as bivariate analysis requires both. Although one-gate patient recruitment is preferable for diagnostic accuracy assessments, two-gate studies, e.g., those that selected LCNEC patients and control groups (such as adenocarcinoma or squamous cell carcinoma) from separate datasets, were also included. All sample types, including surgical specimens, bronchoscopic specimens, and pleural effusion cell blocks, were eligible. Additionally, samples from non-pulmonary origins were accepted if they represented metastatic lung cancer in other organs or lymph nodes. The reference standard for this analysis was a pathological diagnosis made by pathologists. Studies where INSM1 influenced the pathological diagnosis were not excluded but were scored with deductions in the QUADAS-2 evaluation.

Exclusion criteria

Exclusion criteria: studies focusing on neuroendocrine tumors (e.g., Merkel cell carcinoma) or other non-pulmonary neuroendocrine tumors that did not provide lung cancer-specific data were excluded, even if INSM1 data were available.

Design outcomes

Primary

MeasureTime frame
Two analytical models were employed: 1.The NSCLC model aimed to identify LCNEC, excluding SCLC. 2.The lung cancer model focused on identifying neuroendocrine-associated cancers, including both SCLC and LCNEC. Sensitivity, specificity, the area under the curve (AUC), and the diagnostic odds ratio (DOR) were evaluated. If multiple cutoffs were used in an original article, all weakly, moderately, and strongly positive results were collectively considered positive.

Countries

Japan

Contacts

Public ContactNobuyuki Horita

Yokohama City University Hospital Chemotherapy Center

horitano@yokohama-cu.ac.jp045-787-2800

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026