Evidence map›Paper›PMID 41703351›Full record

ArticleTherapeutic innovation & regulatory science2026

Management of Increasing Complexity of Phase I Trials: A Retrospective Analysis from the Niguarda Cancer Center Phase I Unit.

Anna Bombelli, Noemi Salmistraro, Stefano Stabile, Francesca Pelle, Giovanna Marrapese, Silvia Ghezzi, Sara Mariano, Letizia Monti, Giulia Biamonti, Roberta Carrozzo and 3 more

Abstract read
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In one paragraph

Article in Therapeutic innovation & regulatory science, 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

13 authors.

Anna Bombelli *SC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy. anna.bombelli@ospedaleniguarda.it.ORCID http://orcid.org/0009-0008-1087-1586
Noemi Salmistraro *SC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Stefano Stabile *SC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Francesca PelleSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Giovanna MarrapeseSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Silvia GhezziSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Sara MarianoSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Letizia MontiSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Giulia BiamontiSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Roberta CarrozzoSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Alessio AmatuSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Andrea Sartore-BianchiSC Ricerca Clinica e Innovazione, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Salvatore SienaSC Oncologia Falck, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, significant advancements in oncology clinical trials have led to the introduction of novel study designs, endpoints, and the integration of predictive biomarkers and molecular tumour profiling for patient selection. In parallel, increased quality standards and regulatory changes in phase I cancer trials have resulted in a substantial rise in study-related procedures, which require dedicated professionals to effectively manage all these tasks. To better understand the factors contributing to this complexity, we analyzed data from 36 phase I trials conducted at Niguarda Cancer Center between 2016 and 2023, focusing on solid tumors in adult patients. Of the 36 studies, 31 (86.1%) were designed with a dose-escalation phase followed by an expansion phase. While the majority of studies were biomarker-driven (n = 31, 86.1%), only 12 (33.3%) included an embedded molecular pre-screening. On average, each trial involved 3.7 ± 2.1 Investigational Medicinal Products (IMPs), with a mean of 6.9 ± 4.7 planned cohorts per study. Regarding protocol-related procedures, 17 studies (47.2%) incorporated an intensive pharmacokinetic (PK) program (≥ 6 PK samples within 24 h), and 7 (19.4%) included an intensive ECGs (≥ 4 ECGs in 24 h). Additionally, 16 studies (44.4%) required at least one mandatory tumor biopsy. When comparing data across 4 biennia from 2016 to 2023, we observed an increase in the average number of IMPs (1.5 ± 0.58 in 2016/17; 4.43 ± 2.10 in 2022/23) and the average number of cohorts per trial (4.00 ± 1.15 in 2016/17; 8.21 ± 6.20 in 2022/23). In conclusion, this study highlights the growing complexity of phase I trials, driven by factors such as an increased number of IMPs, cohorts, tumor histologies, and study procedures like PK, ECG, and tumor biopsies. These factors should be considered when planning resource allocation and developing strategies for workforce training. Clinical centers must ensure adequate resources, specialized personnel, and efficient organizational strategies to handle the expanding procedural demands of phase I trials.

Indexed as

Antineoplastic AgentsClinical Trials, Phase I as TopicNeoplasmsHumansResearch DesignRetrospective StudiesAntineoplastic AgentsClinical research managementOncology trialsPhase I clinical trialsSolid tumorsTrial complexity

Identifiers

PMID41703351

What OpenQuestion holds

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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.