Revisiting Surgical Strategies for Hepatocellular Carcinoma With Microvascular Invasion

Although liver resection (LR) and liver transplantation (LT) are widely considered as potentially curative therapies for selected patients with hepatocellular carcinoma (HCC); however, there is still high risk of tumor recurrence in majority of HCC patients. Previous studies demonstrated that the presence of microvascular invasion (MVI), which was defined as the presence of tumor emboli within the vessels adjacent to HCC, was one of the key factors of early HCC recurrence and poor surgical outcomes after LR or LT. In this review, we evaluated the impact of current MVI status on surgical outcomes after curative therapies and aimed to explore the surgical strategies for HCC based on different MVI status with evidence from pathological examination. Surgical outcomes of HCC patients with MVI have been described as a varied range after curative therapies due to a broad spectrum of current definitions for MVI. Therefore, an international consensus on the validated definition of MVI in HCC is urgently needed to provide a more consistent evaluation and reliable prediction of surgical outcomes for HCC patients after curative treatments. We concluded that MVI should be further sub-classified into MI (microvessel invasion) and MPVI (microscopic portal vein invasion); for HCC patients with MPVI, local R0 resection with a narrow or wide surgical margin will get the same surgical results. However, for HCC patients with MI, local surgical resection with a wide and negative surgical margin will get better surgical outcomes. Nowadays, MVI status can only be reliably confirmed by histopathologic evaluation of surgical specimens, limiting its clinical application. Taken together, preoperative assessment of MVI is of utmost significance for selecting a reasonable surgical modality and greatly improving the surgical outcomes of HCC patients, especially in those with liver cirrhosis.

Subtyping of non-small cell lung cancer by cytology specimens: A proposal for resource-poor hospitals

Aim

Cancer diagnosis and treatment depend on pathology reports but naming a cancer is sometimes impossible without specialized techniques. We aimed to evaluate the sensitivity of cytological sub-classification of non-small cell lung carcinoma, not otherwise specified group (NSCLC-NOS) into Adenocarcinoma (AC) and Squamous cell carcinoma (SqCC) without using immunohistochemistry.

Methods

Endobronchial ultrasound guided fine-needle aspiration biopsies and cytology slides diagnosed as NSCLC-NOS between 2004- 2008 were reviewed retrospectively. The final diagnosis was reached by immunohistochemistry (TTF-1, p63) when necessary.

Results

One hundred-twenty nine cases were retrieved. The final diagnoses were as follows: SqCC: 30.3%; AC: 65.7%; combined tumor (3 adenosquamous and 1 small cell + SqCC): 4%. Cytological diagnoses rendered were as follow: Definitely SqCC: 10.1%; favor SqCC: 14.1%; definitely AC: 38.4%; favor AC: 35.4%; NSCLC-NOS: 2%. The sensitivity and specificity of cytology were 86.3 and 87.5% for AC diagnosis respectively.

Conclusion

Positive and negative predictive value of cytology was 95.3% and it was even 100% for well to moderately differentiated tumors. There was a tendency to sub-classify poorly differentiated SqCC as AC. Papanicolaou stain increased the diagnostic accuracy of SqCC. The combined tumor rate was 4% and after recognizing a tumor component, the second component was missed if the slide examination was terminated prematurely.

Pediatric Sepsis Endotypes Among Adults With Sepsis

OBJECTIVES

Recent transcriptomic studies describe two subgroups of adults with sepsis differentiated by a sepsis response signature. The implied biology and related clinical associations are comparable with recently reported pediatric sepsis endotypes, labeled "A" and "B." We classified adults with sepsis using the pediatric endotyping strategy and the sepsis response signature and determined how endotype assignment, sepsis response signature membership, and age interact with respect to mortality.

DESIGN

Retrospective analysis of publically available transcriptomic data representing critically ill adults with sepsis from which the sepsis response signature groups were derived and validated.

SETTING

Multiple ICUs.

PATIENTS

Adults with sepsis.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Transcriptomic data were conormalized into a single dataset yielding 549 unique cases with sepsis response signature assignments. Each subject was assigned to endotype A or B using the expression data for the 100 endotyping genes. There were 163 subjects (30%) assigned to endotype A and 386 to endotype B. There was a weak, positive correlation between endotype assignment and sepsis response signature membership. Mortality rates were similar between patients assigned endotype A and those assigned endotype B. A multivariable logistic regression model fit to endotype assignment, sepsis response signature membership, age, and the respective two-way interactions revealed that endotype A, sepsis response signature 1 membership, older age, and the interactions between them were associated with mortality. Subjects coassigned to endotype A, and sepsis response signature 1 had the highest mortality.

CONCLUSIONS

Combining the pediatric endotyping strategy with sepsis response signature membership might provide complementary, age-dependent, biological, and prognostic information.

Sub-classification of Breast Masses by Fine Needle Aspiration Cytology

OBJECTIVE

The aim of this study is to evaluate the accuracy of sub-classification of breast diseases using Fine Needle Aspiration cytology (FNAC).

MATERIALS AND METHODS

A one-year prospective study of 180 consecutive patients with palpable breast lesions who underwent FNAC and subsequently open surgical biopsy for histological confirmation. FNAC was used to sub-classify breast lesions and then correlated with histological diagnosis.

RESULTS

A total of 180 patients were enrolled into the study but only 110 patients with histology report were used for test validity. Seventeen (15.5%) smears were C1; while 46 (41.8%), 5 (4.5%), 4 (3.6%) and 38 (34.6%) were C2, C3, C4 and C5, respectively. FNAC achieved sensitivity of 90.0%, specificity of 95.5%, false positive rate of 5.3%, false negative rate of 8.7%, positive predictive value of 94.7%, negative predictive value of 91.3% and overall diagnostic accuracy of 92.9%. Only 86 (78.2%) of the 110 smears could be sub-classified into different disease conditions of the breast on cytology. FNAC accurately sub-classified 25(78.1%) of fibroadenoma and 28(87.5%) of invasive ductal carcinoma.

CONCLUSION

FNAC can reasonably sub-classify fibroadenoma, invasive ductal carcinoma and mastitis but there is still a challenge with lobular carcinomas, metaplastic carcinomas, papillary carcinomas and fibrocystic changes.