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Neoadjuvant chemotherapy with gemcitabine plus cisplatin followed by radical liver resection versus immediate radical liver resection alone followed adjuvant therapy in biliary tract cancer: Final results from the phase III AIO/CALGP/ACO-GAIN-Trial.

2025· article· en· W4410816452 on OpenAlexaff
Thorsten Oliver Goetze, Arndt Vogel, Johann Pratschke, Matthias Behrend, Daniel Reim, Andreas A. Schnitzbauer, Annalen Bleckmann, Silvan Becker, Nuh N. Rahbari, Stefan M. Brunner, Steffen Manekeller, Kim Barbara Luley, Sven Arke Lang, Kerstin Gutsche, Timorshah Habibzada, Jorge Klagges, Marina Schaaf, Claudia Pauligk, Ulli Simone Bankstahl, Salah-Eddin Al-Batran

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineGemcitabineCisplatinChemotherapyBiliary tractResectionSurgeryAdjuvant chemotherapyAdjuvant therapyBiliary tract cancerAdjuvantHepatectomyCancerOncologyInternal medicine

Abstract

fetched live from OpenAlex

4008 Background: Radical surgical resection represents the only potentially curative treatment option for Biliary Tract Cancer (BTC) and (incidental) Gallbladder Carcinoma ((I)GBC). Nevertheless, 5-year OS is only 20–40% after curatively intended resection and data regarding pure adjuvant chemotherapy in BTCs are currently conflicting. Encouraging results of neoadjuvant/perioperative concepts in other malignancies provide a rationale to use this treatment in the early phase management of GBC and intrahepatic as well extrahepatic cholangiocarcinoma (ICC/ECC). Methods: GAIN is a multicenter, randomized, controlled, open-label phase III trial, including patients (pts) with localized or locally advanced resectable non metastatic biliary tract cancer (intra-/extrahepatic cholangiocarcinoma ICC/ECC; GBC in front of radical liver resection). Pts were randomized to either neoadjuvant (perioperative) systemic chemotherapy (Gemcitabine + Cisplatin 3 cycles pre- and post-surgery) followed by radical surgery (Arm A) or to direct surgery followed by adjuvant treatment (Arm B) according to investigators choice. Primary endpoint was OS; secondary endpoints were PFS/EFS, R0-resection rate, toxicity, perioperative morbidity, mortality and QoL. Recruitment was stopped after enrollment of 68 pts due to a slow enrollment rate. Results: Between Dec 2019 and Feb 2024, 68 pts were randomized and the ITT comprised 32 pts in Arm A and 30 pts in Arm B. Baseline characteristics were similar between arms (overall, male 55%; median age 66.0; cT3/T4 29.0%; cN+ 30.6%; 37.1% ICC, 30.6% ECC and 32.3% GBC). 90.6% of pts in Arm A completed all 3 pre-operative cycles. 43.8% in Arm A completed adjuvant treatment and 23.3% in Arm B received adjuvant treatment. Median follow-up was 11.8 months. Neoadjuvant treatment improved OS (mOS, Arm A 27.8 vs. 14.6 months Arm B; HR 0.46 [0.22 - 0.96]; p = 0.04) and R0 resection rate (62.5% vs 33.3%). This effect was also seen in event-free survival. Postoperative morbidity rates were similar in both arms (33.3% (A) vs. 32% (B)) and the 30- and 90-days mortality rates were lower for Arm A (30-days: 4.2% vs. 24%; 90-days: 4.2% vs. 28%). No new safety/toxicity signals were observed. In Arm A, 12 pts (38.7%) had at least one treatment related adverse event (TRAE) with grade 3 and 1 pt (3.2%) with grade 4. No fatal TRAEs were observed. Conclusions: Neoadjuvant / perioperative gem/cis clearly improved OS and R0 resection rate in pts with biliary tract cancer compared to direct surgery and was able to nearly double mOS while not increasing the morbidity rate and even decreasing mortality rates. Clinical trial information: NCT03673072 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.099
GPT teacher head0.423
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations21
Published2025
Admission routes1
Has abstractyes

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