Evidence map›Paper›PMID 35397746›Full record

ArticleAnnals of surgical oncology2022

Outcomes of Mixed Pathologic Response in Patients with Multiple Colorectal Liver Metastases Treated with Neoadjuvant Chemotherapy and Liver Resection.

Meredith C Mason, Maciej Krasnodebski, Caitlin A Hester, Anai N Kothari, Caeli Barker, Yujiro Nishioka, Yi-Ju Chiang, Timothy E Newhook, Ching-Wei D Tzeng, Yun Shin Chun and 2 more

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Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Meredith C MasonDepartment of Surgery, Division of Surgical Oncology, Emory University School of Medicine, Atlanta, GA, USA.
Maciej KrasnodebskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Caitlin A HesterDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Anai N KothariDepartment of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
Caeli BarkerDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yujiro NishiokaDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yi-Ju ChiangDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Timothy E NewhookDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ching-Wei D TzengDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yun Shin ChunDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jean-Nicolas VautheyDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hop S Tran CaoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. hstran@mdanderson.org.ORCID http://orcid.org/0000-0001-8612-8272
The University of Texas MD Anderson Cancer Center · USEmory University · USMedical College of Wisconsin · USMedical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathologic response to preoperative chemotherapy predicts survival in patients with colorectal liver metastases (CLMs) who undergo hepatectomy. In multiple CLMs, mixed pathologic response, wherein tumors exhibit different degrees of treatment response, is possible. We sought to evaluate survival outcomes of mixed response in patients with multiple CLMs.

methodsWe conducted a retrospective cohort study using a single-institution database of patients with two or more CLMs who underwent preoperative chemotherapy and hepatectomy (2010-2018). Pathologic response of each tumor was measured on pathology. Patients were stratified by pathologic response as complete (pCR) = 0-1% viability; major (pMajR) = 2-49% viability; minor (pMinR) = 50-99% viability; or mixed (pMixR) = at least one pCR/MajR tumor and one pMinR. Recurrence-free survival (RFS) and overall survival (OS) were estimated using the Kaplan-Meier method, and adjusted risk of death was evaluated using Cox regression.

resultsAmong 444 patients, 6% had pCR, 34% had pMajR, 36% had pMinR, and 24% had pMixR. Median and 5-year RFS for patients with pMixR was 10.4 months and 16%, respectively, compared with pMajR (11.3 months and 18%, respectively), pMinR (7.7 months and 13%, respectively), and pCR (23.1 months and 38%, respectively) [log-rank p < 0.001]. Median and 5-year OS for patients with pMixR was 77.4 months and 60%, respectively, compared with pMajR (80.5 months and 63%, respectively), pMinR (49.9 months and 39%, respectively), and pCR (median OS not reached; median follow-up of 37.1 months and 5-year OS of 65%) [log-rank p = 0.002]. pMixR was associated with a 52% risk of death reduction (hazard ratio 0.48, 95% confidence interval 0.30-0.78 vs. pMinR).

conclusionsOne-quarter of patients with multiple CLMs have pMixR following preoperative chemotherapy and hepatectomy. OS and RFS for patients with pMixR mirror those of pMajR rather than pMinR, suggesting the greatest response achieved in any metastasis best predicts survival.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsHepatectomyHumansNeoadjuvant TherapyRetrospective StudiesTreatment OutcomeColorectal liver metastasesLiver resectionMixed pathologic responseSurvival

Identifiers

PMID35397746
OpenAlexW4226083994

What OpenQuestion holds

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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 OpenQuestion graph.