Evidence map›Paper›PMID 41789994›Full record

Observational studyCancer control : journal of the Moffitt Cancer Center

Integrative Molecular Analysis to Predict Clinical Benefit of Everolimus in Patients With Gastro-Entero-Pancreatic Neuroendocrine Tumors (GEP-NETs).

Miran Han, Eunbyeol Lee, Ji Eun Shin, Min Suk Kwon, Sung Hee Lim, Jung Yong Hong, Seung Tae Kim

Abstract readObservational Study
In one paragraph

Observational study in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Miran HanDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID 0009-0009-7714-9835
Eunbyeol LeeBiointelligence Center, Samsung Precision Genome Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-3262-4208
Ji Eun ShinDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Min Suk KwonDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sung Hee LimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jung Yong HongDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Seung Tae KimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionNeuroendocrine tumors (NETs) are rare and heterogeneous. Everolimus, an inhibitor of the mammalian target of rapamycin (mTOR), is widely used in gastrointestinal and pancreatic NETs (GEP-NETs). Owing to the lack of validated biomarkers, exploratory analyses of molecular pathways may help identify subgroups that derive clinical benefit from everolimus.MethodsWe conducted a retrospective observational cohort study of patients with GEP-NETs who received everolimus and underwent tumor next-generation sequencing (NGS). Genomic alterations were categorized into seven predefined signaling pathways (PI3K/AKT/mTOR, MAPK, DNA damage repair (DDR), developmental, epigenetic regulation, JAK-STAT, and cell-cycle regulation), and patients were classified as mutated (≥1 alteration) or wild-type. Clinical outcomes included objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS). Associations between pathway alterations and outcomes were assessed.ResultsTwenty-eight patients were included. Median PFS was 26.4 months (95% CI, 17.3-37.1) and median OS was 41.0 months (95% CI, 36.6-not reached [NR]). Alterations in the PI3K/AKT/mTOR pathway were associated with more favorable treatment outcomes, including a higher ORR (47.6% vs. 14.3%; OR, 5.17; 95% CI, 0.49-275.05; p=0.191) and a significantly higher DCR (85.7% vs. 28.6%; OR, 13.0; 95% CI, 1.40-199.5; p=0.009). Survival outcomes also tended to be longer in this group compared with wild-type tumors, with median OS of 59.0 vs. 40.8 months (p=0.321) and median PFS of 26.4 vs. 18.6 months (p=0.858). In contrast, alterations in DDR-related genes were associated with lower ORR and DCR, while alterations in cell-cycle regulation pathways were associated with shorter OS and PFS and numerically lower response rates. No significant differences in survival or response outcomes were observed for MAPK, JAK-STAT, epigenetic, or developmental pathways.ConclusionsPathway-level genomic alterations were associated with differential clinical benefit from everolimus in GEP-NETs, with PI3K/AKT/mTOR alterations suggesting greater benefit, while DDR and cell-cycle alterations indicated reduced benefit. Despite the small cohort, these findings support the potential of pathway-based biomarkers and warrant prospective validation.

Indexed as

EverolimusIntestinal NeoplasmsNeuroendocrine TumorsPancreatic NeoplasmsStomach NeoplasmsAdultAgedBiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedRetrospective StudiesSignal TransductionBiomarkers, TumorEverolimuseverolimusgastrointestinal and pancreatic neuroendocrine tumors (GEP-NETs)next-generation sequencing (NGS)PI3K/AKT/mTOR pathwaypredictive biomarker

Identifiers

PMID41789994
PMCPMC12966538

What Socratic holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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 Socratic graph.