Evidence map›Paper›PMID 42215937›Full record

ArticleBMC cancer2026

Atezolizumab versus pembrolizumab in the treatment of advanced triple-negative breast cancer: a Bayesian network meta-analysis of ITT and PD-L1 positive populations.

I Gede Wikania Wira Wiguna, I Gede Krisna Arim Sadeva, Christo Timothy Mamangdean, Ngakan Putu Krishna Mahayana, Suparada Khanaruksombat, May Soe Thu, Putu Mirah Wahyu Subagia Putri, Kadek Meryndha Kumala Tungga, Agung Brahmanthya Nadine Kepakisan, Komang Indra Parama Arta and 2 more

Abstract readNetwork Meta-AnalysisComparative Study
In one paragraph

Article in BMC cancer, 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

12 authors.

I Gede Wikania Wira WigunaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
I Gede Krisna Arim SadevaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Christo Timothy MamangdeanFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Ngakan Putu Krishna MahayanaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Suparada KhanaruksombatDepartment of Immunology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
May Soe ThuCenter of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Putu Mirah Wahyu Subagia PutriFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Kadek Meryndha Kumala TunggaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Agung Brahmanthya Nadine KepakisanFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Komang Indra Parama ArtaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Raditya Putra PratamaFaculty of Medicine, Udayana University, Denpasar, 80232, Indonesia.
Nattiya HirankarnCenter of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand. Nattiya.H@chula.ac.th.

Funding

National Research Council of Thailand N42A680423Ratchadapisek Somphot Matching Fund, Faculty of Medicine, Chulalongkorn University RA-MF-01/69
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) combined with chemotherapy (CT) are a standard treatment for advanced or metastatic triple-negative breast cancer (mTNBC). This study aims to evaluate the comparative efficacy and ranking of ICIs + CT regimens in treating advanced TNBC.

methodsA Bayesian network meta-analysis of phase III randomized controlled trials (RCTs) comparing ICI + CT versus CT alone was conducted in advanced TNBC patients. Outcomes included objective response rate (ORR), disease control rate (DCR), landmark mortality probability ratios, and landmark progression probability ratios across intention-to-treat (ITT) and PD-L1-positive populations. Indirect comparison was performed using R software following PRISMA 2020 guidelines.

resultsThe network analysis included four RCTs (six publications; n = 2,776). Atezolizumab (A) + CT achieved higher ORR than chemotherapy alone, especially in the PD-L1-positive population, whereas DCRs were comparable across groups. At 36 months, landmark mortality probability ratios in the ITT population were 0.68 (95% CrI 0.60-0.76) vs. 0.67 (95% CrI 0.58-0.78) for A + CT and pembrolizumab (P) + CT, respectively. In the PD-L1-positive subgroup, these ratios were 0.73 (95% CrI 0.61-0.88) vs. 0.83 (95% CrI 0.53-1.18) for A + CT and P + CT, respectively. The 36-month landmark progression probability ratios favored P + CT in the ITT cohort (0.47 vs. 0.62 for A + CT) and were comparable in the PD-L1-positive population (0.51 vs. 0.47 for A + CT). SUCRA ranking showed A + CT as having the highest probability of effectiveness for short-term outcomes in the PD-L1-positive patients. Conversely, P + CT demonstrated superior long-term survival stability in the ITT population, reinforced by restricted mean survival time (RMST) analysis. The certainty of evidence via GRADE was low to moderate.

conclusionBoth ICI regimens provide clinical benefit, as reflected by lower landmark mortality and progression probability ratios compared with chemotherapy. A + CT demonstrates superior initial response probabilities in PD-L1-positive patients, whereas P + CT exhibits more durable long-term outcomes in the ITT population. Regimen selection should be guided by specific clinical priorities, biomarker status, and the desired temporal profile of the therapeutic effect.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenImmune Checkpoint InhibitorsTriple Negative Breast NeoplasmsBayes TheoremClinical Trials, Phase III as TopicFemaleHumansRandomized Controlled Trials as TopicAntibodies, Monoclonal, HumanizedatezolizumabB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorspembrolizumabBayesian network meta-analysisChemotherapyImmune-checkpoint inhibitorTriple-negative breast cancer

Identifiers

PMID42215937
PMCPMC13435541

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.