Search

Background: Previous research suggests that Warburg‐subtypes are related to potentially important survival differences in colorectal cancer (CRC) patients. In the present study, we investigated whether mutational subgroups based on somatic mutations in RAS, BRAF, PIK3CA, and MET, which are known to promote the Warburg‐effect, as well as mismatch repair (MMR) status, hold prognostic value in CRC. In addition, we investigated whether Warburg‐subtypes provide additional prognostic information, independent of known prognostic factors like TNM stage. Methods: CRC patients (n = 2344) from the prospective Netherlands Cohort Study (NLCS) were classified into eight mutually exclusive mutational subgroups, based on observed mutations in RAS, BRAF, PIK3CA, and MET, and MMR status: All‐wild‐type + MMRproficient, KRASmut + MMRproficient, KRASmut + PIK3CAmut + MMRproficient, PIK3CAmut + MMRproficient, BRAFmut + MMRproficient, BRAFmut + MMRdeficient, other + MMRproficient, and other + MMRdeficient. Kaplan–Meier curves and Cox regression models were used to investigate associations between mutational subgroups and survival, as well as associations between our previously established Warburg‐subtypes and survival within these mutational subgroups. Results: Compared to patients with all‐wild‐type + MMRproficient CRC, patients with KRASmut + MMRproficient, KRASmut + PIK3CAmut + MMRproficient, BRAFmut + MMRproficient, or other + MMRproficient CRC had a statistically significant worse survival (HRCRC‐specific ranged from 1.29 to 1.88). In contrast, patients with other + MMRdeficient CRC had the most favorable survival (HRCRC‐specific 0.48). No statistically significant survival differences were observed for the Warburg‐subtypes within mutational subgroups. Conclusion: Our results highlight the prognostic potential of mutational subgroups in CRC. Warburg‐subtypes did not provide additional prognostic information within these mutational subgroups. Future larger‐scale prospective studies are necessary to validate our findings and to examine the potential clinical utility of CRC subtyping based on mutational subgroups. [ABSTRACT FROM AUTHOR]

Background: Energy balance-related factors [body mass index (BMI), waist circumference, physical activity] have been associated with colorectal cancer risk. Warburg effect activation via PI3K/Akt signaling is one of the proposed mechanisms. We investigated whether energy balance-related factors were associated with risk of Warburg subtypes in colorectal cancer. Methods: We investigated this using immunohistochemistry for six proteins involved in the Warburg effect (LDHA, GLUT1, MCT4, PKM2, P53, PTEN) on tissue microarrays of 2,399 incident colorectal cancer cases from the prospective Netherlands Cohort Study (ntotal = 120,852; nsubcohort = 5,000; aged 55-69 in 1986; 20.3 years follow-up). Data analyses included 3,911 subcohort members and 1,972 colorectal cancer cases with complete covariate data. Expression levels of all proteins were combined into a pathway-based sum score and categorized into three "Warburg subtypes" (Warburg-low/moderate/high). Multivariable Cox regression analyses were used to estimate associations of BMI, clothing size (waist circumference proxy), and physical activity with Warburg subtypes in colorectal cancer. Results: BMI and clothing size were positively associated with Warburg-moderate and Warburg-high colon cancer risk in men (Pheterogeneity = 0.192). In women, clothing size was positively associated with Warburg-low and Warburg-high colon cancer (Pheterogeneity = 0.005). Nonoccupational physical activity was inversely associated with Warburg-low and Warburg-moderate colon cancer in women (Pheterogeneity = 0.045), but positively associated with Warburg-high rectal cancer in men (Pheterogeneity = 0.089). Conclusions: The Warburg effect might be involved in associations between adiposity and colon cancer risk, though additional mechanisms could be at play in women as well. The inverse association between physical activity and colon cancer might be explained by mechanisms other than the Warburg effect. [ABSTRACT FROM AUTHOR]

Background: Scoring of immunohistochemistry (IHC) staining is often done by non-pathologists, especially in large-scale tissue microarray (TMA)-based studies. Studies on the validity and reproducibility of scoring results from non-pathologists are limited. Therefore, our main aim was to assess interobserver agreement between trained non-pathologists and an experienced histopathologist for three IHC markers with different subcellular localization (nucleus/membrane/cytoplasm). Methods: Three non-pathologists were trained in recognizing adenocarcinoma and IHC scoring by a senior histopathologist. Kappa statistics were used to analyze interobserver and intraobserver agreement for 6,249 TMA cores from a colorectal cancer series. Results: Interobserver agreement between non-pathologists (independently scored) and the histopathologist was "substantial" for nuclear and membranous IHC markers (Krange= 0.67-0.75 and Krange= 0.61-0.69, respectively), and "moderate" for the cytoplasmic IHC marker (Krange= 0.43-0.57). Scores of the three non-pathologists were also combined into a "combination score" (if at least two non-pathologists independently assigned the same score to a core, this was the combination score). This increased agreement with the pathologist (Knuclear = 0.74; Kmembranous = 0.73; Kcytopasmic = 0.57). Interobserver agreement between non-pathologists was "substantial" (Knuclear = 0.78; Kmembranous = 0.72; Kcytopasmic = 0.61). Intraobserver agreement of non-pathologists was "substantial" to "almost perfect" (Knuclear,range = 0.83-0.87; Kmembranous,range = 0.75-0.82; Kcytopasmic = 0.69). Overall, agreement was lowest for the cytoplasmic IHC marker. Conclusions: This study shows that adequately trained non-pathologists are able to generate reproducible IHC scoring results, that are similar to those of an experienced histopathologist. A combination score of at least two non-pathologists yielded optimal results. [ABSTRACT FROM AUTHOR]

Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine pathology slides in colorectal cancer (CRC). However, current approaches rely on convolutional neural networks (CNNs) and have mostly been validated on small patient cohorts. Here, we develop a new transformer-based pipeline for end-to-end biomarker prediction from pathology slides by combining a pre-trained transformer encoder with a transformer network for patch aggregation. Our transformer-based approach substantially improves the performance, generalizability, data efficiency, and interpretability as compared with current state-of-the-art algorithms. After training and evaluating on a large multicenter cohort of over 13,000 patients from 16 colorectal cancer cohorts, we achieve a sensitivity of 0.99 with a negative predictive value of over 0.99 for prediction of microsatellite instability (MSI) on surgical resection specimens. We demonstrate that resection specimen-only training reaches clinical-grade performance on endoscopic biopsy tissue, solving a long-standing diagnostic problem., Competing Interests: Declaration of interests J.N.K. reports consulting services for Owkin, France, Panakeia, UK, and DoMore Diagnostics, Norway and has received honoraria for lectures by M.S.D., Eisai, and Fresenius. N.W. has received fees for advisory board activities with BMS, Astellas, GSK, and Amgen, not related to this study. N.W. has received fees for advisory board activities with BMS, Astellas, and Amgen, not related to this study. P.Q. has received fees for advisory board activities with Roche and AMGEN and research funding from Roche through an Innovate UK National Pathology Imaging Consortium grant. H.I.G. has received fees for advisory board activities by AstraZeneca and BMS, not related to this study. M.S.T. is a scientific advisor to Mindpeak and Sonrai Analytics, and has received honoraria recently from BMS, MSD, Roche, Sanofi, and Incyte. He has received grant support from Phillips, Roche, MSD, and Akoya. None of these disclosures are related to this work. D.N.C. has participated in advisory boards for MSD and has received research funding on behalf of the TransSCOT consortium from HalioDx for analyses independent of this study. V.H.K. has served as an invited speaker on behalf of Indica Labs and has received project-based research funding from The Image Analysis Group and Roche outside of the submitted work. No other potential disclosures are reported by any of the authors., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Colorectal cancer (CRC) remains one of the most prevalent and deadly cancers worldwide. The tumour-node-metastasis stage (TNM) is currently the most clinically important tool to predict prognosis for CRC patients. However, patients with the same TNM stage can have different prognoses. The metabolic status of tumour cells (Warburg-subtype) has been proposed as potential prognostic factor in CRC. However, potential biological mechanisms underlying the relationship between Warburg-subtype and prognosis have not been investigated in detail. One potential mechanism could be that the metabolic status of tumour cells affects the tumour microenvironment (TME). Our objective was to investigate the relationship between Warburg-subtypes and the TME. Haematoxylin/Eosin stained tumour tissue microarray cores from 2171 CRC patients from the Netherlands Cohort Study were semi quantitatively assessed for tumour infiltrating lymphocytes (TILs) and relative tumour stroma content. 5745 cores were assessed by putting each core in one of four categories for both TILs and stroma. The relationship between Warburg-subtype, TILs, and tumour stroma content was investigated. The frequency of CRC in the different TIL categories was (n, %): very low (2538, 44.2), low (2463, 42.9), high (722, 12.6), and very high (22, 0.4). The frequency of CRC in the different tumour stroma content categories was: ≤ 25% (2755, 47.9), > 25% ≤ 50% (1553, 27) > 50% ≤ 75% (905, 15.8), and > 75% (532, 9.3). There was neither an association between Warburg-subtype and tumour stroma content (p = 0.229) nor between Warburg-subtype and TILs (p = 0.429). This is the first study to investigate the relationship between Warburg-subtypes and the TME in a large population-based series of CRC patients. Our data suggest that the prognostic value of Warburg-subtypes cannot be directly attributed to differences in TILs or tumour stroma content. Our results require confirmation in an independent series., Competing Interests: Declaration of Competing Interest HG has received honoraria from Astra Zeneca and BMS for scientific advisory board activities not related to the current study. The remaining authors have no conflicts of interest to declare., (Copyright © 2023 The Authors. Published by Elsevier GmbH.. All rights reserved.)

The emergence of drug-resistant tuberculosis and disease caused by nontuberculous mycobacteria has increased the need for accurate drug susceptibility testing of mycobacteria. The stability of the tested drugs in relevant test media have been understudied. We assessed the stability of isoniazid, rifampicin, clarithromycin, linezolid and amikacin in Middlebrook 7H9 medium and that of clarithromycin, amikacin and cefoxitin in the cation-adjusted Mueller Hinton broth. We used ultra-performance liquid chromatography (UPLC) methods for rifampicin and isoniazid and a microbiological assay for rifampicin, clarithromycin, amikacin, cefoxitin and linezolid. Rifampicin and isoniazid concentrations in Middlebrook 7H9 medium had decreased by 92% and 54% after 7 days. The microbiological assay revealed decreases in drug concentration of ≥75% (rifampicin, clarithromycin, cefoxitin) and 60% (linezolid) after 14 days. With the exception of amikacin, all antimycobacterial drugs were unstable during 14 days of incubation in the preferred media for DST. Drug stability may influence minimum inhibitory concentration measurements., (Copyright © 2018. Published by Elsevier Inc.)