Evidence map›Paper›PMID 35169225›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2022

Delineating the intra-patient heterogeneity of molecular alterations in treatment-naïve colorectal cancer with peritoneal carcinomatosis.

Christina Siesing, Alexandra Petersson, Thora Ulfarsdottir, Subhayan Chattopadhyay, Björn Nodin, Jakob Eberhard, Jenny Brändstedt, Ingvar Syk, David Gisselsson, Karin Jirström

Open access · hybridAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

10 authors at 3 institutions in 1 country.

Christina SiesingDivision of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. christina.siesing@med.lu.se.ORCID 0000-0003-1728-5092
Alexandra PeterssonDivision of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Thora UlfarsdottirDepartment of Oncology, Skåne University Hospital, Lund, Sweden.
Subhayan ChattopadhyayDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Björn NodinDivision of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Jakob EberhardDivision of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Jenny BrändstedtDivision of Surgery, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
Ingvar SykDivision of Surgery, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
David GisselssonDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Karin JirströmDivision of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Lund University · SEMalmö University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a non-negligible number of patients with metastatic colorectal cancer (mCRC), the peritoneum is the predominant site of dissemination. Cure can be achieved by cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC), but this procedure is associated with long-term morbidity and high relapse rates. Thus, there is a pressing need for improved therapeutic strategies and complementary biomarkers. The present study explored the molecular heterogeneity in mCRC with peritoneal carcinomatosis (PC), and the potential clinical implications thereof. Multi-region immunohistochemical profiling and deep targeted DNA-sequencing was performed on chemotherapy-naïve tumours from seven patients with synchronous colorectal PC who underwent CRS and HIPEC. In total, 88 samples (5-19 per patient) were analysed, representing primary tumour, lymph node metastases, tumour deposits, PC and liver metastases. Expression of special AT-rich sequence-binding protein 2 (SATB2), a marker of colorectal lineage, was lacking in the majority of cases, and a conspicuous intra-patient heterogeneity was denoted for expression of the proposed prognostic and predictive biomarker RNA-binding motif protein 3 (RBM3). Loss of mismatch repair proteins MLH1 and PSM2, observed in one case, was concordant with microsatellite instability and the highest tumour mutational burden. When present in a patient, mutations in key CRC driver genes, i.e., KRAS, APC and TP53, were homogenously distributed across all samples, while less common mutations were more heterogenous. On the same note, copy number variations showed intra-patient as well inter-patient heterogeneity. In two out of seven cases, hierarchical clustering revealed that samples from the PC and lymph node metastases were more similar to each other than to the primary tumour. In summary, these findings should encourage additional studies addressing the potential distinctiveness of mCRC with PC, which might pave the way for improved personalized treatment of these patients.

Indexed as

Colorectal NeoplasmsPeritoneal NeoplasmsCombined Modality TherapyDNA Copy Number VariationsHumansHyperthermia, InducedLymphatic MetastasisNeoplasm Recurrence, LocalPrognosisRNA-Binding ProteinsSurvival RateRBM3 protein, humanRNA-Binding Proteins

Identifiers

PMID35169225
PMCPMC9249627
OpenAlexW4212988943

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.